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Control, Instrumentation and Mechatronics: Theory and Practice

  • Norhaliza Abdul Wahab 0 ,
  • Zaharuddin Mohamed 1

School of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

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Presents a collect of carefully peer-reviewed papers from CIM2022

Covers emerging topics in related areas

Is intended to a broad and diverse readership

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 921)

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30 Citations

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  • Table of contents

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Table of contents (73 papers)

Front matter, planar dynamics of dual-quadrotors cooperative carrying a slender beam.

  • Guanfu Li, Jie Huang

Flow Visualisation Over the Low Sweep Unmanned Combat Aerial Vehicle (UCAV) Configuration

  • Bilal Haider, Shuhaimi Mansor, Shabudin Mat, Nazri Nasir

Dynamic Modeling and Analysis for Parallel Robots Actuated by Pneumatic Artificial Muscles

  • Qihang Wang, Gendi Liu, Tong Yang, He Chen, Yanding Qin, Ning Sun

Constructing 3-Dimentional (3D) Model Using Light Detection and Ranging (LiDAR) on Aerial Informatics and Robotics Simulation (AirSim) for UAV

  • Tay Han Minn, Chua Ming Wei, Lim Eu Boon, Mohandas Sakthi Santhiran, Hermawan Nugroho

Lightweight IOT Based Indoor Positioning for Guard Touring System

  • Chai Cho Khian, Rozeha A. Rashid, Siti Zaleha Abdul Hamid, Calveen Jon Elvin, Muhammad Afiq Kamaruzaman

Performance Evaluation of UAV-Based LoRa Wireless Communication Network

  • Kelvin Teoh, Mohamad Hazwan Mohd Ghazali, Wan Rahiman

Vibration Analysis of HVAC Systems for Potentially Harvesting Piezoelectric Vibration Energy

  • T. Amin, Y. C. E. Jonathan, S. H. Wan, J. Y. Chan

A Study on the Arrival Time of Ultrasonic Waves in Concrete Material

  • Farah Aina Jamal Mohamad, Ruzairi Abdul Rahim, Nasarudin Ahmad, Juliza Jamaludin, Fazlul Rahman Mohd Yunus, Yasmin Abdul Wahab et al.

Use of Tower Cranes in Dynamics and Control Education for Mechanical-Engineering Students

  • Haobin Xue, Jie Huang

Preliminary Findings on EEG-Controlled Prosthetic Hand for Stroke Patients Based on Motor Control

  • Ab Wafi Ab Aziz, Jamaludin Jalani, Sujana Mohd Rejab, Amirul Syafiq Sadun

Optimizing PID Controller Coefficients Using an Improved Biogeography-Based Optimization to Stabilize Movements of Quadcopters

  • Sam Ziamanesh, Ahmad Tavaana, Amir Aminzadeh Ghavifekr, Ali Farzamnia, Hadi Salimi

Prediction of Occupant’s Head Movement During Slalom Driving via Artificial Neural Network with Multiple Training Algorithms

  • Wei Herng Wong, Sarah ‘Atifah Saruchi, Nurhaffizah Hassan, Mohd Hatta Mohammed Ariff

Flapping Induced Piezoelectric Transduction for Novel Disaster Management UAVs

  • Sadia Bakhtiar, Muhammad Ilyas, Farjad S. H. Khan, Chaudhry Saadullah, M. Zain Viqar, S. M. Zoraiz Hussain

Analysis of the Hybrid Adhesion Mechanism of the Wall Climbing Robot

  • Riyadh Zulkifli, Abdul Rashid Husain, Izni Syahrizal Ibrahim, Mazleenda Mazni, Nur Hannan Ajwa Mohd Fauzan

Real-Time Data Collection Technique for UAVs Propeller Inspection

  • Mohamad Hazwan Mohd Ghazali, Kelvin Teoh, Wan Rahiman

Model Reference Adaptive Controller Design for Electrohydraulic Actuator System with Varying Disturbance

  • Siti Marhainis Othman, Wong Kar Yi, Russhabiahtul Adawiyah Rustam, Mohd Fuaad Rahmat, Mohd Shuhanaz Zanar Azalan, Muhamad Safwan Muhamad Azmi et al.

Fabrication of a Low Cost Three-Wheel Electric Scooter Using PSoC Technology

  • M. N. Mamat, M. N. Abdullah, S. Kaharuddin, D. Ishak

A Design of Portable IoT Vital Signs Monitoring Device

  • Ming Jack Choo, Zhan Hong Lee, Ee Hng Oon, Regina Ee Wen Kok, Yea Dat Chuah, Jee Hou Ho et al.

IoT System Design of Thermoelectric Generator for Harvesting Motorcycle Exhaust Heat Energy

  • Kharudin Ali, Ahmad Joraimee Mohamad, Damhuji Rifai, Mohd Badrulhaswan Besar, M. Amirul Ikhmal, Nor Hana Mamat et al.
  • Control algorithm
  • Intelligent Control
  • Manufacturing
  • Measurement

Norhaliza Abdul Wahab, Zaharuddin Mohamed

Book Title : Control, Instrumentation and Mechatronics: Theory and Practice

Editors : Norhaliza Abdul Wahab, Zaharuddin Mohamed

Series Title : Lecture Notes in Electrical Engineering

DOI : https://doi.org/10.1007/978-981-19-3923-5

Publisher : Springer Singapore

eBook Packages : Intelligent Technologies and Robotics , Intelligent Technologies and Robotics (R0)

Copyright Information : The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022

Hardcover ISBN : 978-981-19-3922-8 Published: 08 July 2022

Softcover ISBN : 978-981-19-3925-9 Published: 09 July 2023

eBook ISBN : 978-981-19-3923-5 Published: 07 July 2022

Series ISSN : 1876-1100

Series E-ISSN : 1876-1119

Edition Number : 1

Number of Pages : XIV, 866

Number of Illustrations : 136 b/w illustrations, 528 illustrations in colour

Topics : Control, Robotics, Mechatronics , Mechatronics , Measurement Science and Instrumentation

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Instrumentation and control

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Instrumentation

Research Projects

Automated analysis and understanding of biological cells from microscopic images.

Cell identification and counting are experimental procedures used across many scientific disciplines, because of their fundamental-biology and clinical relevance. For example, research in follicle development in mammalian ovaries requires detection, size-measurements and counting of follicles. These techniques are routinely performed manually by trained personnel and are labour intensive. Automation in follicle detection and more generally in cell detection, is, for this reason, very much desirable.

The aim of the project is to develop software capable of processing microscopic images of biological samples and of enabling the user to identify efficiently and count automatically cells. Image processing computer algorithms which are able to identify biological structures on microscope images are already available. Nevertheless, these algorithms require further development to improve their detection rate and to increase their range of use. The existing expertise in pattern recognition and image processing available within the School of Engineering at the University of Kent will provide the required know-how to achieve these tasks. More specifically we intend to use new methods which take advantage of recent developments in pattern recognition efficiency by the introduction of “fusion of multiple classifiers” which overcome difficulties of traditional classification methodologies by combining different pattern recognition algorithms.

Existing collaboration with the Schools of Biosciences and Physical Sciences, University of Kent will provide further expertise and resources for the project.

should have, or are expecting to obtain in the near future, a First Class or good 2.1 Honours Degree in Engineering, Physics or a related discipline. Candidates with a degree in Biology and quantitative skills will be considered. An appropriate degree at Masters level will be an advantage.

Please contact Dr. Luca Marcelli ( [email protected] ) for more details.

CO 2  Flow Metering under CCS Conditions Using Coriolis Mass Flowmeters and Soft Computing Techniques

Measurement of CO 2  flow in the CCS chain is also a challenging and pressing problem with the recent development and deployment of the CCS scheme in many countries. CCS is considered as an effective technology to reduce CO 2  emission from electrical power generation and other industrial processes. Accurate measurement of captured CO 2  is necessary not only for environmental purposes to detect CO 2  leakage, but also for verification of the CO 2  account under emissions trading schemes. However, CO 2  flow in the CCS chain is more difficult to measure than other multiphase flows as the physical properties and flow regimes of CO 2  could change significantly through the long-distance transportation, especially with the variations of environmental temperature and pressure or in the presence of inevitable impurities. This project aims to apply Coriolis flowmeters incorporating soft-computing techniques to determine both flowrate and volume fraction of CO 2  flow. Hybrid data-driven models and deep learning models will be developed based on experimental data. Meanwhile, the dynamic characteristics of CO 2  flow under CCS conditions will be analysed.

Candidates should have, or are expecting to obtain in the near future, a First Class or good 2.1 Honours Degree in Electronic Engineering, Computer Science or a related discipline. An appropriate degree at Masters level will be an advantage.

Please contact Dr Lijuan Wang ( [email protected] ) for more details.

Combustion Stability Monitoring through Deep Learning

Various techniques are available for measuring flame parameters such as temperature, oscillation frequency etc. in combustion systems. The quantitative assessment of the flame quality (e.g., stability) can then be carried out based on the multiple parameters measured. However, there are still significant errors in the existing techniques due to the complex nature of the combustion process (e.g., multiple parameters). Deep learning technique is a powerful tool to identify the combustion instability and this would significantly advance the state-of-the-art in combustion diagnosis. This project aims to perform an intelligent combustion instability monitoring with the aid of digital imaging, image processing data analytics, and deep learning techniques. The objectives are to develop a prototype imaging system for acquiring flame videos under different combustion conditions; to develop a deep convolutional neural network (CNN) architecture and image processing techniques to process the flame videos; to develop a graphical user interface for real-time prediction of flame instability.

Candidates should have or are expecting to obtain in the near future, a First Class or good 2.1 Honours Degree in Electronic Engineering, Computer Science or a related discipline. An appropriate degree at Masters level will be an advantage.

Please contact Dr Md Moinul Hossain ( [email protected] ) for more details.

Condition Monitoring of Wind Turbines through Multispectral Imaging

Onshore and offshore wind farms are becoming an increasingly important source of renewable energy and are used in many countries including the UK as part of a strategy to reduce their reliance on fossil fuels. As wind turbines are usually deployed in a harsh environment, it is necessary to monitor the operating state and structural health in an on-line continuous manner. Condition monitoring is an effective way to detect early faults and minimise unplanned maintenance and downtime. However, the current condition monitoring systems mostly focus on the detection of certain drivetrain components and lack of the monitoring of support structures of wind turbines. These single monitoring technique based systems usually have limited reliability and accuracy. In this case, a multifunctional and high-performance system is highly desirable. This project aims to develop a novel measurement system for monitoring the rotor blades and support structure of wind turbines using multispectral cameras. Multispectral image processing algorithms will be developed to detect the defect, deformation and vibration of rotor blades, tower and foundation of wind turbines. Meanwhile, thermoelasticity stress analysis will be applied to detect the internal defect and high stress region. An extensive experimental programme will be conducted to evaluate the performance of the system.

Contactless Temperature Measurement of Stored Biomass

As a renewable energy source biomass is now widely used in electrical power generation. Biomass fuels such as wood pellets, olive pellets, straw are often stored in bulk volumes  at biomass power plants. Since biomass differs significantly from coal in terms of size, shape and other physical properties, biomass power plants have experienced a range of new technical challenges. The naturally low ignition temperature of biomass has increased the risk of fire at biomass power plants, so the temperature profiling of stored biomass has become essential for safety reasons. Power station operators have used conventional devices such as a matrix of thermocouples to gain the crude profile of a biomass site, but such devices are intrusive and often moved away from their original location or even ripped out by the biomass due to excessive forces exerted on them. A contactless, three-dimensional, cost-effective temperature profiling system is thus desirable. Acoustic sensors coupled with advanced signal processing and image reconstruction algorithms have been identified as a potential approach to resolving the measurement problem. This project aims to develop a demonstration  system for the on-line temperature profiling of a biomass storage site. The challenges include investigations into the transmission characteristics of acoustic waves in biomass, reconstruction of the temperature profiles from noisy acoustic data, and design and implementation of a cost-effective system suitable for the installation and operation on a large scale (typically 50x25x5m) biomass pellet pile. An extensive experimental programme will be conducted initially on a biomass storage model in a laboratory environment and then on a biomass power plant.

Please contact Professor Yong Yan ( [email protected] ) for more details.

Decentralised Fault Reconstruction and Fault Tolerant Control for Nonlinear Interconnected Systems

With the increasing requirements for system performance and reliability from real engineering, the study on nonlinear interconnected system becomes more and more imperative. A large-scale interconnected system is prone to suffering from faults due to its wide distribution in space and the interconnections among subsystems. The whole interconnected system may stop working normally even if one subsystem possesses a fault which is not detected in time. Therefore, it is very important to design a robust fault reconstruction and control scheme such that the controlled system has satisfactory performance even if one or more faults/failures occur. This project is concerned with fault reconstruction and fault tolerant control design using only local information. Such a decentralised scheme is convenient for real implementation and can enhance the reliability. The research will focus on the development of novel, theoretically rigorous methods. The developed results will be tested through multi-machine power systems and the other industrial systems.

Applicants should have a good Honours degree (either first class or upper second class) in Engineering, Mathematics or Physical Science or a relevant discipline. An appropriate degree at Masters level will be an advantage.

Please contact Dr. Xing-gang Yan ( [email protected] ) for more details.

Digital Imaging Based Characterisation of Biomass Particles in Power Generation

As a renewable energy source biomass is now widely used in electrical power generation. Biomass originates from a range of different sources in a wide variety of forms from untreated biomass (straw, pail kernels, etc) to treated biomass (wood pellets, olive pellets etc) and from cultivated energy crops (miscanthus, willow, etc) to residues and waste-derived fuels. Since biomass differs substantially from coal in terms of size, shape and other physical properties, power plants firing biomass have experienced combustion problems which affect flame stability, emission levels and plant maintenance. It is therefore imperative to quantify the physical characteristics of biomass fuels which will inform the combustion engineers for optimised operation of their plants. Digital imaging has been identified as a cost-effective, non-destructive approach to the requirement. This project aims to develop an imaging based portable system for the quantitative analysis of biomass fuels. The challenges include the design and implementation of an image acquisition system suitable for a diverse range of biomass fuels in terms of size, shape and colour and the development of bespoke computer software for the measurement of characteristic parameters such as particle size and shape distributions and surface properties. An extensive experimental programme will be conducted to evaluate the operability and effectiveness of the system. Power generation organisations such as RWE npower, E.ON and Alstom Power are the sponsors of this project.

Please contact Professor Yong Yan ( [email protected] ) for more details.

Gas-solid Flow Measurement in Fluidized Beds through Multi-modal Sensing and Deep Learning

Gas-solid fluidized beds are widely applied in many industrial processes, such as catalytic cracking of petroleum, polymerization, combustion and biomass gasification. Despite a variety of sensors and instruments based on different sensing principles have been proposed for measuring the fluidization dynamic parameters and monitoring the flow status, they all have their limitations and few are practical in industry. This project aims to develop a novel methodology based on multi-modal sensing and deep learning techniques to measure the solids and bubble dynamics in fluidized beds. Multi-modal sensing unit including electrostatic, acoustic, piezoelectric and pressure sensors will be designed to sense the flow characteristics of the complex gas-solid mixture in fluidized beds. Advanced signal processing algorithms and deep learning models will be developed to derive the solids velocity, concentration, particle size distribution, particle agglomeration, flow regime transition, bubble position, velocity and frequency. A prototype instrument will be developed at the end of the project and tested in laboratory conditions.

Measurement of Flame Radical Emissions through Hyperspectral Imaging

In the combustion process, uneven fuel distribution in the burners resulted in poor flame stability and low thermal efficiency. Self-excited combustion instabilities can also be involved due to free radical emissions (e. g., OH*, CH*, CN* and C2*) where the determination of the concentration of emissions is crucial to optimise the combustion operation. Because, the optimise combustion operation is closely linked to furnace safety, combustion efficiency and pollutant emissions (NOx, CO and particulars). In the past, various developments were made to investigate the radical emissions adding different broadband filters into the imaging system such as OH* (304nm). However, Hyperspectral imaging techniques would be an innovative technique that can be used to measure the radical emissions from a range of spectrum bands (UV–VIS/VIS-NIR) simultaneously. The aim of the project is to develop a Hyperspectral imaging technique to investigate the flame radical emissions from a range of spectrum bands simultaneously and also to study the characteristics of the flame and their relationship to emissions. The outcomes of the project will give an in-depth understanding of combustion emissions and also lead to an optimised design and operation of the combustion process. The combining of Hyperspectral imaging with machine learning will permit the automatic classification and characterisation of emissions in high spatial and spectral resolution.

Monitoring and Characterisation of Gas Turbine Flames through Stereoscopic Imaging and Two-colour Techniques

A modern industrial gas turbine is regarded as one of advanced power generation systems and increasingly used in power industry worldwide because of the highest combustion efficiency and lowest pollutant emissions over all combustion power generation systems available today. The gas turbine combustor is a multi-burner where flames appear to be premixed (i.e., blueyish and translucent), highly turbulent and inherently three-dimensional (3-D). The complex nature of the gas turbine flame makes it one of the most difficult objects to be measured, particularly its temperature distribution and oscillation frequency. Digital imaging is one of the most promising approaches amongst all the possible sensing techniques for the monitoring of combustion flames, and has been advanced rapidly as a diagnostic tool for installations on pulverised coal-fired furnaces. This project aims to develop a suitable instrumentation system for on-line, continuous monitoring and characterisation of gas turbine flames. A stereoscopic imaging strategy will be adopted, in which a digital camera and a stereo lens will be used to capture the light of flame at two different viewing angles. The images captured by the camera will be combined to generate stereoscopic images of the flames through dedicated image processing algorithms. Due to the factor that the gas turbine flames are blueyish and translucent, a dedicated optical filtering technique will be employed to capture the radiation intensities of carbon particles (C2) at two adjacent spectral bands within the flame. The information obtained will then be used for the temperature determination based on two-colour pyrometry. A photo detector will also be employed to detect the flame signal over a wide spectral range (from 300nm to 1100nm) at a suitable sampling rate (up to 3000Hz). The signal will be analysed in both time and frequency domains to quantify the dynamic characteristics of the flame, particularly oscillatory frequency and local flame stability. The prototype system, once developed, will be evaluated initially on the gas turbine test rig which is to be built in the university research lab and then on an industrial-scale gas turbine. The technique developed can also be used to determine the gas phase temperature of a sooting flame in a coal-fired combustor so that the temperature difference between the gas phase and solid phase can be examined.

Please contact Dr. Gary Lu ( [email protected] ) for more details.

Monitoring and Characterisation of Large Scale Industrial Fires

Monitoring and characterisation of large-scale pool fires have become increasingly important in the field of fire safety and prevention. Quantified information about large-scale pool fires will inform fire engineers to study large scale fire dynamics, develop better fire sprinkler systems, and validate numerical models of industrial fires. With the advent of digital imaging and image processing techniques, vision based monitoring and characterization techniques have the potential to be deployed. The fire imaging system should be capable of measuring a range of fire parameters and suitable for installation on a large scale pool fire test bed in a university or industrial laboratory. Correlations between the measurements and computation modelling results will be established.

Monitoring of Particulate Emissions through Digital Imaging and Light Scattering

It is estimated that the life expectancy of every individual person in the UK is reduced by 7-8 months due to particulate matters in the air with subsequent health costs of £20 billion each year. A range of industrial processes, particularly, those in the combustion, metal, mineral, and chemical industries release more particulates into the atmosphere than other processes. It is therefore imperative to measure accurately the amount of particulate emissions from such industrial processes. This project aims to develop a novel, cost-effective technology capable of monitoring particulate emissions from industrial stacks by combining digital imaging and light scattering techniques. The project has two primary objectives: (1) to develop a demonstration system that can monitor the emissions of particles of variable size distributions from sub-microns to over 100 microns under dry, wet and low dust emission conditions; (2) to study the fundamental characteristics of particulates from typical industrial stacks using the developed technology. The light scattering technique will be used to measure the density of particles smaller than 10 microns whilst the digital imaging technique will be deployed for the measurement of dust density and size distribution of particles greater than 1 micron.

Multi-Agent Model to Simulate Economic and Financial Systems’ Behaviour

The use of interacting agents to model economic markets from the bottom up is becoming a popular research methodology and it is shaping the way we envisage economic models. Agents can be characterised by behaviours which can follow simple rules. Despite the simplicity of the model’s rules, interesting patterns and behaviours can emerge due to the agent interactions.

This PhD project will aim to investigate these complex patterns emerging from financial and economic systems using theory or empirical agent-based models.

Possible topics of research:

a) Following the work proposed by Lux and Marchesi (Nature, 397, p. 498, 1999), the project consists in using a multi-agent model to simulate traders’ behaviour in an artificial financial market. The aim of the project is to characterise how the patterns of behaviour change as the interaction rules change.

b) In their work, (Nature, 469, p. 352, 2011), Haldane and May illustrate how ecology networks can be used to simulate bank failure and subsequent shocks. The aim of this research topic is to develop a computer code, resembling ecology networks, able to simulate simple bank activities. The code will be able to simulate bank failure and how failure spreads to other banks. These phenomena will be analysed as function of number of nodes (banks) and type of connectivity.

Candidates should have, or are expecting to obtain in the near future, a First Class or good 2.1 Honours Degree in Engineering, Computer Science, Quantitative Finance or a related discipline. An appropriate degree at Masters level will be an advantage.

Object Detection through Complex Media (fog/smoke)

Ability to extract visual cues from the surroundings is crucial in most human activities. There are, however, many environmental or man-made scenarios (e.g., fog, cloud, smoke, dust, haze, etc.) where this capability can be severely compromised. It is crucial to develop an intelligent and effective technique to detect an object through poor environmental condition such as fog/smoke for safer transportation systems (self-driving cars, for instance). Existing solutions are mostly based on radio waves. However, there are a number of challenges that need to be overcome such as low resolution and poor optical contrast as well as low signal to noise ratio. This project aims at delivering a technological solution to vision in the fog/smoke through a multispectral imaging technique. The objectives are to design and set up a multi-spectral imaging system to collect data from multiple viewing angles and spectrum under various fog/smoke conditions (construction of a small scalable experimental rig may be necessary); to carry out a systematic experiment generating different dense fogs/smoke and objects of different geometry; to develop algorithms to detect the object location; to generate ground truth that will be essential for the evaluation of the object detection algorithms.

Observer Design for Time-Delay Systems

Systems involving time-delay are of industrial and applications significance and largely fall into two main categories. The first category arises because of the need to model systems more accurately given increasing performance expectations. Many processes, such as manufacturing processes and the internal combustion engine, include such after effect phenomena in their inner dynamics and time delay is also produced via the actuators, sensors and field networks involved in the practical implementation of feedback control strategies. The second class of problems arises when time delays are used as a modelling tool to simplify some infinite dimensional systems, described by partial differential equations. This tool is used for constructing models of distributed systems modelled by partial differential equations where a set of finite dimensional state variables with appropriate time delay characteristics can be used to represent heat exchange processes, for example. Observers are used to estimate unmeasurable states as well as perform condition monitoring and fault detection and isolation tasks. This project will consider the development of robust observers appropriate for time-delay systems.

Applicants should have a good honours degree (either first class or upper second class) or hold an MSc in a relevant Engineering, Mathematics or Physical Science discipline.

Please contact Dr Xinggang Yan ( [email protected] ) for more details.

On-line Monitoring of Particle Size Distribution of Biomass Particles in Power Generation Using Acoustic Sensors

As a renewable energy source biomass is now widely used in electrical power generation. Biomass originates from a range of different sources in a wide variety of forms from untreated biomass (straw, pail kernels, etc) to treated biomass (wood pellets, olive pellets etc) and from cultivated energy crops (miscanthus, willow, etc) to residues and waste-derived fuels. Since biomass differs substantially from coal in terms of size, shape and other physical properties, biomass power plants have experienced a range of problems. For example, wood pellets are a common biomass fuel, which often contains fine wood-dust presenting an explosion hazard. A mechanical separation process can separate fine wood-dust from the wood pellets and then feed directly to the burners. However, the presence of a small proportion of wood pellets in the wood-dust creates combustion problems. It is thus desirable to measure on-line continuously the size distribution of biomass particles in fuel handling pipelines. Acoustic sensors coupled with advanced signal processing algorithms have been identified as a cost-effective, non-destructive approach to the measurement problem. This project aims to develop a novel measurement system for the on-line sizing of biomass fuels. The challenges include the design and implementation of a cost-effective system suitable for a diverse range of biomass fuels. An extensive experimental programme will be conducted at a biomass power plant (e.g. Tilbury Power Station) to evaluate the operability and effectiveness of the system.

Reaction-Diffusion Model to Study of Morphogen Gradient Formation in Drosophila Embryo

Biological cells use signalling to regulate processes such as recognition, proliferation, differentiation, and apotosis. A common signalling mechanism used by cells involves producing soluble molecules, which diffuse and bind to the inner or outer cell surface. This can be modelled with point particles diffusing in a 3 dimensional medium containing structures, which act as reactive surfaces. This is what happens in cell differentiation which gives rise to spatial pattern formation in organisms. In this process, signalling molecules, morphogens, spread and form a concentration gradient which, once ‘read’ by cells, drives gene expression and ultimately pattern formation. While it is generally accepted that these concentration gradients arise through diffusion, recent studies into the Drosophila (fruit-fly) embryo showed that the mechanisms that drive their formation need better understanding.

Gregor and co-workers [Gregor et al, 2007a] used transgenic Drosophila embryos where the Bicoid protein, an endogenous morphogen, was replaced with a green fluorescent fusion protein (Bcd-GFP) and performed real-time measurements of the Bicoid concentration to characterise its spatio-temporal dynamics. These authors showed the inadequacy of the traditional model, which predicts a time for the formation of gradient which is too long compared to the actual one. The authors proposed the hypothesis that the nuclei within the embryo influence the formation of the gradient when absorbing the Bicoid proteins.

The aim of this research project is to develop a computer code to model the reaction-diffusion within the Drosophila embryo, and test hypotheses regarding the mechanisms underlying the dynamics of morphogen gradients. A reaction-diffusion model, with appropriate boundary conditions to account for the geometrical details of the Drosophila embryo, will be developed to test new hypotheses against the experimental data available in the literature. This work would have an important impact in developmental biology and would help the understanding of cell signalling mechanisms in other biological problems.

Candidates should have, or are expecting to obtain in the near future, a First Class or good 2.1 Honours Degree in Physics, Physical Chemistry, Engineering, Computer Science or a related discipline. Candidates with a degree in Biology and quantitative skills will be considered. An appropriate degree at Masters level will be an advantage.

Reconstruction of Radical Emissions in a Combustion Flame through Stereoscopic Tomography

The changes in fuel supplies in the coal fired power generation industry, particularly where biomass is used, have been posing significant technical challenges for combustion plant operators and engineers to maintain high combustion efficiency and low atmospheric emissions. A flame is regarded as the primary reaction zone of the highly exothermic reactions of fuels and contains important information relating closely to the energy conversion, pollutant formation process and thus the quality of the combustion process. This project aims to develop a stereoscopic imaging system for the reconstruction of the radical emissions within a combustion flame. The primary objectives of the project are: 1) to design and implement a prototype imaging system capable of reconstructing the radiative characteristics of the free radicals (e.g., OH*, CH*, CN* and C2) based on stereoscopic tomography; and 2) to establish the relationships between the radical characteristics obtained by the imaging system and the emission levels in flue gas based on soft computing techniques, such as neural network, fuzzy logic and data mining. The novelty of the proposed new system is primarily that by applying the stereoscopic tomographic technique, the three-dimensional reconstruction of flame radical emissions can be achived by a single camera. The prototype system, once developed, will be tested on a gas-fired combustion test rig in the University Instrumentation Lab. The results will be compared with that obtained by a spectrometer to assess the accuracy and reliability of the system. The relationships between the emissive characteristics of radicals and the chemical/physical properties of the fuels, together with the flue gas emissions (e.g., O2, CO, NOx and SO2 which can be obtained using a gas analyser) will then be established. The outcome of this project will help to predict emissions directly from the flame information instead of the flue gas measurement, shortening the control loop for emissions reduction. RWE npower (UK) is the sponsor of this project.

Robust Decentralised Output Feedback Control for Complex Interconnected Systems

With the advancement of scientific technology, the dynamical systems used to model reality have become more and more complicated. The complexity mainly lies in nonlinearities, uncertainties, strong interconnections among subsystems and high dimensionality. Such systems are often modelled as dynamic equations composed of interconnections of a set of lower-dimensional subsystems, and are termed large-scale interconnected systems. How to deal with the interconnections in the control design to reduce the conservatism is full of challenge specifically when the interconnections are fully nonlinear. This project will consider decentralised output feedback control design for complex interconnected systems using the structure of the isolated subsystems and the interconnections. The research will focus on the development of novel, theoretically rigorous methods for decentralised control. The developed results will be tested through industrial systems.

States and Parameters Estimation for Complex Networked Systems with Applications

With the advancement of scientific technology and the increasing requirement for high levels of system performance, the dynamical systems used to model reality in demanding such as power networks, ecological systems, biological systems and energy systems, have become more and more complex. It is clear that for practical systems, states and parameters estimation is absolutely important to guarantee the control scheme’s implementation or to replace high cost sensors.

It is well known that structural constraint has been widely employed in observer, which has greatly limited the application of the estimation theory. This project is concerned with development of novel, theoretically rigorous methods for states and simultaneously parameters estimation based on system structure characteristics. It is expected that this research yields high quality research work by developing novel conditions to relax the traditional structural constraints from theory point of view such that the developed results can be applied to a wide class of systems. Both the advantages of adaptive techniques and the characteristics of variable structure systems will be combined together to reduce the conservatism and enhance the robustness. The developed results will be tested by real systems such as automobile suspension system, robot system or some industrial systems.

Please contact Dr. Xinggang Yan ( [email protected] ) for more details.

Three-dimensional Emission Tomography of Flame Chemiluminescence

The process tomography is a very useful technique for three-dimensional (3-D) reconstruction and characterisation of many industrial processes including combustion process. The emission tomography of chemiluminescence (CTC) is a 3-D imaging technique that can resolve the internal structure of a flame in a combustion system so as to reveal spatiotemporally complex combustion phenomena in such as system. Various techniques were developed in the past to measure flame chemiluminescence emissions, but there are still many technical problems (such as complex system setup, low temporal/spatial resolution, and poor measurement accuracy) which need to be resolved. This project aims to examine a 3-D imaging technique which works based on flame chemiluminescence detection. The main objectives are to study and implement an image-fibre based high-speed tomographic imaging system for acquiring flame images; to reconstruct flame chemiluminescence emissions using acquired images to study optical tomographic and digital image processing techniques; to structure a simple graphical user interface for operating the system and presenting the flame images/reconstruction; to conduct experiments in lab-scale combustion rig and to evaluate the methodology developed.

Tomographic Reconstruction of Soot Volume Fraction and Emissivity of a Sooting Flame using Multiple Cameras

Within the scope of the advanced flame monitoring techniques, reliable and continuous measurement of temperature and soot volume fraction (i.e., concentration) of a sooting flame (such as a pulverised coal fired flame) plays an important role in the in-depth understanding of fuel combustion and pollutants formation processes. However, due to the uncertainty of the flame emissivity, particularly where fuel blends (mixture of different coals, or coal and biomass) are used, the measurement of the flame temperature and its distribution presents the most technical challenge to researchers and engineers. In practice, a flame has to be assumed to be a grey-body (i.e., the emissivity is constant) and thus the multi-colour pyrometry can be applied for the temperature determination. This would introduce a un-neglectable error in the measurement results. In addition, very limited work was previously conducted on the online measurement of soot volume fraction in a coal-fired flame. A research project is therefore proposed to develop an instrumentation system capable of the three-dimensional monitoring of the flame soot volume fraction, emissivity and their fluctuations based on optical tomographic and two-colour techniques. In the project, an optical transmission system will be designed to capture the light of flame from three different directions and transmit the images onto three identical RGB CCD cameras. Computing algorithms will be developed for reconstructing the soot concentration, emissivity and temperature cross flame sections using the optical tomography and two-colour principle (based on the Planck’s radiation law). Quantitative relationships between soot volume fraction, emissivity and the temperature, together with fuel/air inputs and emission levels, will be established. An extensive experimental programme will be conducted on both laboratory and industrial-scale combustion test facilities to evaluate the operability and effectiveness of the system.

Vibration Measurement of Rotor-bearing Systems Using Electrostatic Sensors

Rotating machinery such as generators, electromotors, compressors and wind turbines accounts for a large proportion of mechanical devices in the electrical, energy, chemical, aviation and other industries. The rotor-bearing systems in these devices usually suffer from different levels of damage and faults due to physical or chemical changes in the process of long-term operation, resulting in system downtime, economic loss or even disastrous consequences. To reduce system downtime or avoid unnecessary damage of mechanical devices, a condition monitoring system should be applied to obtain operational parameters, identify health status and establish maintenance strategies. This project aims to develop a vibration measurement system for rotor-bearing systems using electrostatic sensors. The challenges include the design of electrostatic sensing unit and development of signal processing algorithms for the measurement of vibration parameters. An extensive experimental programme will be conducted to evaluate the effectiveness of the system.

  • Control Systems

Hot topics in Control Engineering for 2021

Think again: plc programming, ai and control system evolution, the career and salary survey and hmi/scada design were among top articles posted on the control engineering website during 2021. why see also top 3 covers, top 10 articles posted prior to 2021..

thesis on instrumentation and control

Learning Objectives

  • Review top 10 Control Engineering articles posted in 2021 and Control Engineering hot topics during the last five months of 2021.
  • Discover why these top 3 covers of 2021 were chosen: IIoT for automation, calibration, applying automation.
  • Learn from the top 10 Control Engineering  articles posted prior to 2021: tutorial topics.

Free programming software for education, evolution of control systems with artificial intelligence, career and salary survey, HMI/SCADA design tips, simulation and computer-aided design of control systems were the top 5 hot Control Engineering topics posted in 2021, based on Google Analytics. These topics are core to understanding control systems and helping automation and controls engineers do their jobs better, all major areas of Control Engineering coverage.

New to this listing are the top Control Engineering articles from monthly tallies, August through December, providing additional hot-topic representation from later in 2021.

Top covers  Control Engineering of 2021 were on Industrial Internet of Things (IIoT) for automation, “6 things to know about calibration,” and “Get a grip on applying automation” as chosen by Michael Smith, Control Engineering creative director.

Top articles posted prior to 2021 covered five characteristics of cloud computing, understanding permanent magnet motors, fundamentals of cascade control, top 5 VFD parameter changes explained, and antenna basics, antenna types, antenna functions. These articles written in tutorial or tip format have become consistent favorites. All also were represented on the Control Engineering hot topics for 2020 lists.

Right now, consider writing now: Think again about articles planned for 2022 at www.controleng.com/2022articles and contribute your expertise to next year’s hot topics article review.

Top 10 Control Engineering articles posted in 2021

The articles posted during 2021 at www.controleng.com with the most clicks during 2021 follow. This metric favors those posted earlier in the year. NEW : Also see top articles posted later in 2021.

  • Free PLC programming software for education, January 29: Available programmable logic controller (PLC) software that is free for users is crucial for users and students who can’t currently access a lab. See table with a breakdown. ( Note: In top 10 overall for 2021)
  • Evolution of control systems with artificial intelligence, February 17: Cover Story: Can artificial intelligence (AI) prove to be the next evolution of control systems? See three AI controller characteristics and three applications.
  • Control Engineering Career and Salary Survey, 2021, May 18: Career update: COVID-19 accelerates innovative technology implementations; engineering salaries increase; job satisfaction is high. The lack of skilled workers, economy and lack of necessary materials are biggest threats to manufacturing.
  • When designing HMI/SCADA, consider many factors, June 7: User abilities, skill levels, future plans, needs of stakeholders, and other items should be explored. See a system integrator’s advice and seven SCADA system integration/design questions to ask.
  • From simulation to computer-aided design of control systems, June 30: Cover Story: While simulation systems can help for control system programming design, a general-purpose programming language like C# can be used: First, some basic control system theory.
  • Structuring with IEC 61131-3: 7 steps to success, July 6: The IEC 61131-3 standard includes powerful structuring tools and can help provide users an excellent way to break a control system down into manageable units for greater overall effectiveness.
  • PLCs power industrial data integration, January 5: Cover Story: Programmable logic controllers (PLCs) have recently gained capabilities formerly possible only with PCs, expanding their role to support seamless data integration with the enterprise.
  • Using IIoT for a more energy-efficient pump environment, January 4: Industrial Internet of Things (IIoT) case study shows how to use pump power measurements to save energy using sensors enabled by wireless gateway and cloud-based analytics. Secure and relatively simple technologies were used; see eight project guidelines.
  • Four tips for designing scalable IIoT networks, July 5: Don’t get distracted by the promises of the latest so-called solutions for Industrial Internet of Things (IIoT). Focus on these essential design principles while building a data network. Intelligent input/output modules and other tools can add flexibility.
  • Finite-state machine for embedded systems, October 4: Get help for finite-state machine programming for embedded systems using C programming language.

Control Engineering hot topics during the last five months of 2021

While it’s not impossible (see #10, above), it’s much less likely that articles posted later in the year will make the top 10 annual list above, since they have less time to gather clicks than articles posted earlier in the year. That said, below see five hot topic articles not on the list above, but on each of the monthly list of hot topics, August through December.

August : Face mask prototype can detect COVID-19 infection – Engineers at MIT and Harvard have designed a prototype face mask that can diagnose the person wearing the mask with COVID-19 within about 90 minutes and can be used to detect other pathogens and chemicals.

This has significance because sensor technologies are one third of the control loop (sense-decide-actuate). It also has implications for industrial workforce safety.

September : Engineering Leaders Under 40, Class of 2021 – Meet the engineers who are exceeding expectations and improving operations as the COVID-19 pandemic continues.

Engineering leaders, amid continuing labor shortages, are of extreme interest to subscribers. Also, it warms the heart to see others excited about and innovating in this profession.

October : 2022 Engineers’ Choice Finalists – Subscribers have significant interest in new products in automation, controls and instrumentation that help them do their jobs better; 72 finalists are listed.

In the January/February 2022 print/digital edition, see the Control Engineering Engineers’ Choice winners for 2022. Feb. 7 is the planned date for announcement online. Learn more about all Control Engineering awards here .

November : Nanotube-based sensor can detect COVID-19 proteins – MIT engineers have designed a nanotube-based sensor that can detect COVID-19 without any antibody and could be used for other pandemic, improving worker health.

Carbon nanotubes have been touted as having special properties useful for many engineering applications; a new use for a sensor that could help industrial safety is of great interest.

December : 2022 System Integrator of the Year winners – Integrator companies Revere Control Systems, Hargrove Controls + Automation and Huffman Engineering are recognized for their outstanding achievements.

Efficient and effective system integration is core to making automation, controls and instrumentation optimize operations. Many automation users turn to system integrators for help.

Top 3 covers of 2021: IIoT for automation, calibration, applying automation

Michael Smith, Control Engineering creative director explains why these were his three favorite covers.

The April 2021 issue cover on IIoT for automation does a great job of showing how today’s engineers are interacting with technology in real-time. In the image, cropping, color and lighting work together to draw your eye in to help communicate IIoT and automation.

In the June 2021 issue, the engineer is busy calibrating an instrument for service. The colors and human integration as portrayed makes this image very appealing. The red color reverse bar, coupled with the type design directs the eye to the clear and concise message about calibration.

In the August 2021 issue, the cropping and formatting help to paint a unique angle on robotics. The electric use of color, and the integrated message work together to create a lot of graphic interest. The engineering audience can see that robots are among key ways automation is being applied to enable present and future manufacturing.

Top covers Control Engineering of 2021 were on Industrial Internet of Things (IIoT) for automation, “6 things to know about calibration,” and “Get a grip on applying automation” as chosen by Michael Smith, Control Engineering creative director. See the top 10 Control Engineering articles of 2021 and top 10 posted prior to 2021. Image courtesy: Control Engineering, Schneider Electric (April 2021), Fluke Calibration (June 2021) and Applied Manufacturing Technologies (August 2021).

Top 10 Control Engineering articles posted prior to 2021: tutorial topics

Tutorials to help with automation and control represent hot-topic articles (most traffic) posted prior to 2021.

  • Five characteristics of cloud computing , 2017 : Cloud computing’s characteristics and benefits include on-demand self-service, broad network access, and being very elastic and scalable.
  • Understanding permanent magnet motors , 2017 : A permanent magnet (PM) motor is an ac motor that uses magnets imbedded into or attached to the surface of the motor’s rotor. This article provides an elementary understanding behind the terminology, concepts, theory, and physics behind PM motors.
  • Fundamentals of cascade control, 2014 : Sometimes two controllers can do a better job of keeping one process variable where you want it.
  • Top 5 VFD parameter changes explained, 2020: Programming variable frequency drives (VFDs) to fit most industrial applications require only the most basic settings to operate the motor. Understand these 5 VFD parameter changes to optimize VFD programming to fit most motor-drive applications.
  • Antenna basics, antenna types, antenna functions , 2014 : Industrial wireless tutorials: What you need to know about industrial antennas, antenna functions, and antenna capabilities.
  • Understanding PID control and loop tuning fundamentals , 2016 : PID loop tuning may not be a hard science, but it’s not magic either. Here are some tuning tips that work.
  • Stepper motor torque basics , 2018 : Stepper motors remain popular because they are low-cost, rugged, simple, have high torque at startup and low speeds, require little maintenance, and they can operate in an open loop control system.
  • Applying heat exchanger control strategies , 2016 : Inside Process: Integrating control schemes, such as feedback, cascade, and feedforward techniques, can satisfy the control requirements of even highly challenging heat exchanger temperature control applications.
  • How to select a motor for an industrial application , 2017 : Understanding the main types of loads, motors, and applications can help simplify motor and accessory selection.
  • Which IEC 61131-3 programming language is best? Part 1, 2020: With so many programmable logic controller (PLC) programming languages and standards from which to choose, what is the right choice for automation and controls applications? Part 1 provides an overview and focuses on Ladder Diagram (LD) and Sequential Function Chart (SFC).

Mark T. Hoske  is content manager,  Control Engineering , CFE Media and Technology at  [email protected] . Traffic ranking based on www.controleng.com analytics performed by Chris Vavra, web content manager,  Control Engineering , [email protected] . Cover analysis was by Michael Smith, creative director,  Control Engineering .

Control Engineering , hot topics of 2021

CONSIDER THIS

What did you think about this year’s lists? Were there articles here: www.controleng.com or covers here www.controleng.com/magazine that weren’t represented here? Let me know your thoughts.

Do you have experience and expertise with the topics mentioned in this content? You should consider contributing to our CFE Media editorial team and getting the recognition you and your company deserve. Click here to start this process.

  • Hot topics in Control Engineering for 2020
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Integrated Flow Solutions

Process Engineering Company

What is instrumentation & control engineering, march 5, 2019 welcome.

what is instrumentation and control engineering

Instrumentation and control refer to the analysis, measurement, and control of industrial process variables using process control instruments and software tools such as temperature, pressure, flow, and level sensors, analyzers, electrical and mechanical actuators, Human-Machine Interfaces (HMI), Piping and Instrumentation Diagram (P&ID) systems, automated control systems and more.

What Is Instrumentation and Control Engineering?

Control engineering is an offshoot of Electrical/Electronic engineering which applies control theory to design, monitor and control a wide range of industrial processes to ensure optimum productivity and theoretically infinite repeatability while maintaining industrial health and safety standards.

What Is Process Control Instrumentation?

Process control instrumentation focuses on the measurement and control of process variables within an industrial setting using hardware and software tools. Control systems are derived from mathematical models of industrial processes and systems.

The Role of the Engineer

Control and instrumentation engineers are in charge of managing instrumentation and control systems at industrial facilities. Typically, a control and instrumentation engineers are responsible for designing, developing, and operating control devices and systems within an industrial facility.

instrumentation and process control systems

Why Is Instrumentation and Process Control Essential?

Instrumentation and process control is at the core of all industrial and manufacturing activities. Within a production facility, every process must be carefully monitored and controlled to proceed in a predetermined fashion that is both optimized and safe.

For example, temperature monitoring and control systems at petrochemical plants prevent temperatures from rising to critical levels and causing an explosion. Without electric process heater control panels , there could be a loss of human lives and the destruction of assets.

Industries that Need Instrumentation and Process Control

Virtually every industry that specializes in repeatable production requires industrial process instrumentation and process control equipment.

Some industries include:

  • Oil & Gas
  • Petrochemical
  • Wastewater Treatment
  • Food &Beverage
  • Manufacturing

Common Industrial Process Control Equipment

Depending on the particular industry, there are a plethora of instrumentation and control systems which aid efficiency and productivity of production equipment.

industrial process control equipment

Essential process control instrumentation systems include:

Level Control & Monitoring

Pressure control & monitoring, automated control systems, temperature control & monitoring, supervisory control & data acquisition (scada).

Flow monitoring and control equipment monitor, detect and control the level of solids, fluid or gases in tanks, vessels, and compartments using level-detecting sensors that relay the information to a control panel or monitor operated by the control engineer. In response to an undesired flow level, the engineer can activate an electrical or mechanical actuator remotely to adjust the flow rate. Some industrial control pressure devices include Coriolis flow meters , Orifice flow meters, and Turbine flow meters.

Pressure control systems detect changes in process pressure and display the measurements in Bar, KPa or other relevant units using the information obtained from pressure sensors. Pressure monitoring and control devices can be mechanical or electrically-operated. They are essential tools which ensure the safety of personnel and assets in industrial operations – particularly in industries that handle pressurized fluids, liquids, and gases.

Automated control systems help to manage industrial processes requiring a high degree of accuracy or safety. A control engineer can intermittently monitor automated control processes but does not need to intervene to return the variables to predefined values, as the system is programmed to automatically adjust itself under divergent conditions.

Automated controls offer superior reliability for highly-repeatable industrial processes by eliminating the human error factor. However, high-precision equipment must be used to safeguard against catastrophic failure of equipment. IFS offers best-in-class automation and control systems to the Oil & Gas, Power generation, and Air quality industries.

Temperature monitoring and control devices detect variations in ambient temperature or temperature within measured environments like compartments, vessels, tanks, pipes, and other equipment. In modern Human-Machine Interfaces or (HMI) or P&ID systems, the control and instrumentation engineer can usually view the temperature readings on a dashboard or monitor and take any necessary actions to adjust one or more process variables or shut down devices or the entire plant to prevent critical equipment failure or fire hazards.

SCADA systems are employed in a wide range of industries like power generation, air purification, wastewater treatment, and manufacturing plants to synergize multiple equipment and systems which monitor and collect information about on-going processes at industrial plants. SCADA systems relay information to the control engineer via feedback from sensors and Programmable Logic Controllers (PLCs) and use HMIs for human interfacing and control.

Trust IFS – A Leading Process Control Instruments Manufacturer

If you’re looking for industrial process instrumentation and process control equipment for your organization, Integrated Flow Solutions has the tools you need.

Integrated Flow Solutions is a market-leading manufacturer of engineered-to-order industrial skid-mounted process equipment . All our devices and equipment are fabricated to ASME standards and utilize the highest-grade components for superior reliability.

With a team of experienced engineers for deployment, servicing, consultation, and 24/7 technical support, you can rest assured of quality service every time.

Contact us online today or call 1-281-855-8125 .

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  • Bibliography
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Dissertations / Theses on the topic 'Instrumentation and measurement'

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Malatesta, William, and Clay Fink. "MEASUREMENT-CENTRIC DATA MODEL FOR INSTRUMENTATION CONFIGURATION." International Foundation for Telemetering, 2007. http://hdl.handle.net/10150/604525.

Larson-Robl, Kylie M. "PORE PRESSURE MEASUREMENT INSTRUMENTATION RESPONSE TO BLASTING." UKnowledge, 2016. http://uknowledge.uky.edu/mng_etds/30.

Buck, Bryan Roger. "Data centric cache measurement using hardware and software instrumentation." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/1500.

Karakaya, Yeliz. "Instrumentation for microscale measurement and characterization of bio-fibers." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 2.65 Mb., 112 p, 2006. http://proquest.umi.com/pqdlink?did=1037889801&Fmt=7&clientId=8331&RQT=309&VName=PQD.

Betts, Adam. "Hybrid measurement-based WCET analysis using instrumentation point graphs." Thesis, University of York, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.550488.

Shende, Sameer Suresh. "The role of instrumentation and mapping in performance measurement /." view abstract or download file of text, 2001. http://wwwlib.umi.com/cr/uoregon/fullcit?p3024533.

Cocker, Richard P. "Instrumentation for broadband ultrasonic property measurement in adhesive layers." Thesis, Keele University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314752.

Duke, Kajsa Kelly. "The design of instrumentation for force measurement during scoliosis surgery." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ60422.pdf.

Yusuf, Hayat Abdulla. "Novel microsystems for gradient generation in analytical instrumentation and measurement." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.505412.

Hu, Ming. "Instrumentation and tar measurement systems for a downdraft biomass gasifier." Thesis, Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1678.

Silva, Diogo Fonte da. "SAW sensor validation and instrumentation for torque and temperature measurement." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/22736.

Cardenas, Olaya Andrea. "Digital instrumentation for the measurement of high spectral purity signals." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCD019/document.

Barnett, Nicholas James. "The development of biomedical instrumentation using backscattered laser light." Thesis, Oxford Brookes University, 1990. https://radar.brookes.ac.uk/radar/items/854b71a4-e72a-4396-bac2-df2608345d2d/1.

Putta, Sunil Kumar. "Nodal Resistance Measurement System." Thesis, University of North Texas, 2005. https://digital.library.unt.edu/ark:/67531/metadc5568/.

Nye, Philip. "Computer instrumentation for voltage contrast measurement in the scanning electron microscope." Thesis, University of Edinburgh, 1990. http://hdl.handle.net/1842/15545.

MILWAY, WILLIAM B. "MULTIPLE TARGET INSTRUMENTATION RADARS FOR MILITARY TEST AND EVALUATION." International Foundation for Telemetering, 1985. http://hdl.handle.net/10150/615734.

Kumar, R. Anil. "Studies on Solar Cell AC Parameters (Instrumentation, Measurements and Applications)." Thesis, Indian Institute of Science, 2004. http://hdl.handle.net/2005/116.

Raper, Tyson B. "In-season Drought Monitoring| Testing Instrumentation and Developing Methods of Measurement Analysis." Thesis, University of Arkansas, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3626302.

Soil moisture sensor use in crop production systems has the potential to give inference on plant water status for the purpose of irrigation scheduling and site-drought characterization. These processed measurements could serve as the framework on which to compile trial results across locations, thereby more accurately defining varietal yield response to drought. Still, the ability to characterize drought within a given field or initiate irrigations from these data hinge upon the ability of the instrument to characterize soil moisture at the sampled point and extrapolate that information across the landscape and time. Therefore, the objectives of this research were to: (1) test the response of the Watermark 200SS (Irrometer Company, Inc., Riverside, CA) and Decagon 10HS (Decagon Devices, Inc., Pullman, WA) to changes in water content of three dissimilar soils representing common soils in row-crop production under variable environmental conditions; (2) develop a soil moisture-based index to quantify drought stress in dryland cotton cultivar trials; and (3) determine if a limited number of soil moisture sensors deployed into a dryland cultivar trial could accurately characterize the VWC at a given point within the field and if this measurement could be extrapolated out to the field scale from the very small sphere of influence characterizing the utilized soil moisture sensors. During the 2012 and 2013 growing seasons soil moisture sensors were deployed into over 14 cotton cultivar trials across the U.S. Cotton Belt and into a water-input controlled container study. Tested sensors' inability to accurately predict container VWC emphasized the relatively small quantity of soil on which these sensors rely and the variability in soil moisture within a very limited volume. Results from the drought-index studies suggested both the Accumulated Soil Moisture Stress Index (ASMSI) and the relative reduction in evapotranspiration (1-(ET c adj /ET c )) appear to have potential in characterizing the amount of stress experienced within dryland cultivar trials. Analysis of spatial and temporal stability suggested trends between sensors were consistent, but absolute node readings varied. Optimism concerning the potential of these measurements/approaches for increasing water use efficiency is coupled with a call for more arbitrary, universal methods of measurement analysis.

Gregory, Thomas S. "Development of a Deflection Measurement System for the Hybrid III Six-Year Old Biofidelic Abdomen." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/46333.

Simpson, David Gordon Giles, and dsimpson@swin edu au. "Instrumentation for high spatial resolution of steady state visual evoked potentials." Swinburne University of Technology, 1998. http://adt.lib.swin.edu.au./public/adt-VSWT20060711.123100.

Wang, Weiwei. "Instrumentation development for magneto-transport and neutron scattering measurements at high pressure and low temperature." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/7676.

Ha, Sang-Woo. "Instrumentation for pressure measurement during thermal decomposition of binders in multilayer ceramic capacitors /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p1426065.

Read, Melissa B. (Melissa Beth) 1982. "Method and instrumentation for the measurement and characterization of MEMS fabricated electrical contacts." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/57891.

Tillman, Richard Henry. "Absolute Flux Density Measurement and Associated Instrumentation for Radio Astronomy below 100 MHz." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/72289.

Hanna, Ghassan Faraj 1957. "DESIGN AND DEVELOPMENT OF HIGHLY ACCURATE TEMPERATURE MEASUREMENT INSTRUMENTATION FOR USE IN HOSTILE ENVIRONMENT." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/276351.

Meritt, Ryan James. "Skin Friction Sensor Design Methodology and Validation for High-Speed, High-Enthalpy Flow Applications." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/54569.

Aamoth, Kelsey. "Instrumentation and Control System to Quantify Colonic Activity." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1459190138.

Benammar, Mohieddine. "Development of instrumentation incorporating solid state gas sensors for measurement of oxygen partial pressure." Thesis, Middlesex University, 1991. http://eprints.mdx.ac.uk/6532/.

Oh, Ki Dong. "Optical Fiber Fabry-Perot Interferometer based Sensor Instrumentation System for Low Magnetic Field Measurement." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/29687.

Heimann, P. A. "Assessment of catheter-manometer systems used for invasive blood pressure measurement." Master's thesis, University of Cape Town, 1989. http://hdl.handle.net/11427/27183.

Sigler, Heinz. "Thermowell design methods and their implementation in an expert system." Thesis, University of South Wales, 2001. https://pure.southwales.ac.uk/en/studentthesis/thermowell-design-methods-and-their-implementation-in-an-expert-system(f131d9fc-688a-4448-8d2b-1c5a1f2a8b39).html.

Pedurand, Richard. "Instrumentation for Thermal Noise Spectroscopy." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSE1356.

Rodriguez, Ramón. "Network Analyzer Functionality Simulator." Thesis, University of Gävle, Department of Technology and Built Environment, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-704.

The objective of this thesis work was to implement all the hardware and software necessary to simulate the functionality of a Vector Network Analyzer (VNA). With equipment that is already available, and is common in a measurement station, the most common functions of a VNA were implemented, using an Vector Signal Generator, that provide the signal for testing, and a Vector Signal Analyzer, to make all the amplitude and phase measurements. With these instruments and the appropriate software that control them, the basic functionality of a Vector Network Analyzer can be achieved with a reasonable accuracy. With this system, we can reduce costs, avoiding the need of a real VNA and take advantage off instruments that are already available in a laboratory. A Complete measurement system of all four scattering parameters is proposed at the end of the report for future implementation. With this implementation all the different S-parameter measurements were made with an acceptable accuracy that can be comparable to a commercial VNA.

Waschura, Thomas E. "625 MBIT/SEC BIT ERROR LOCATION ANALYSIS FOR INSTRUMENTATION RECORDING APPLICATIONS." International Foundation for Telemetering, 1998. http://hdl.handle.net/10150/609650.

Martin, Robert D. "Applications of Measurement Instrumentation for Advanced Launch Vehicles of the 90's Using MicroDACS Technology." International Foundation for Telemetering, 1988. http://hdl.handle.net/10150/615030.

Prasser, Horst-Michael. "4. Workshop "Measurement techniques for stationary and transient multiphase flows", Rossendorf, November 16 - 17, 2000." Forschungszentrum Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:d120-qucosa-29736.

Prasser, Horst-Michael. "4. Workshop "Measurement techniques for stationary and transient multiphase flows", Rossendorf, November 16 - 17, 2000." Forschungszentrum Rossendorf, 2001. https://hzdr.qucosa.de/id/qucosa%3A21800.

Davis, Bradford S., and T. Gordon Brown. "COMBINING SENSORS WITH AIRBORNE TELEMETRY INSTRUMENTATION TO MAKE RANGE MEASUREMENTS AND OBTAIN AERODYNAMICS." International Foundation for Telemetering, 1999. http://hdl.handle.net/10150/608710.

Musser, Joseph Alan. "Novel instrumentation for a scattering independent measurement of the absorption coefficient of natural waters, and a new diffuse reflector for spectroscopic instrumentation and close cavity coupling." Diss., Texas A&M University, 2006. http://hdl.handle.net/1969.1/4736.

Sanjuán, Muñoz Josep. "Development and validation of the thermal diagnostics instrumentation in lisa pathfinder." Doctoral thesis, Universitat Politècnica de Catalunya, 2009. http://hdl.handle.net/10803/6366.

Ingles, Edward N. "Instrumentation of a diesel engine for oil film thickness measurement using fiber optics and laser fluorescence." Thesis, Springfield, Virginia: Available from National Technical Information Service, 1991. http://hdl.handle.net/10945/28295.

Hopkins, Mark B. "Applying distributed embedded electronic instrumentation to the measurement and analysis of multiple acoustic and ultrasonic signals." Thesis, University of Kent, 2018. https://kar.kent.ac.uk/65908/.

Kanth, Ratnakar M. "A personal computer based instrumentation system for determining real-time dynamic torque in rotating machinery." Thesis, Virginia Tech, 1987. http://hdl.handle.net/10919/45823.

Measurement of dynamic/transient torques is important in the dynamic analysis of rotating machinery as it provides insight into the internal state of the machine. Existing methods are difficult to implement, results are not obtained in real-time and are not very accurate.

This thesis introduces a new method of determining real-time dynamic torque. An optical encoder is used to sense motion at a convenient point in the rotating system containing the rigid shaft of interest. The encoderâ s output is processed digitally to yield angular velocity, acceleration and dynamic torque. Two different experiments were conducted to demonstrate the advantages of this new method of determining dynamic torque over conventional methods.

In one experiment, an extension spring was mounted on a crank arrangement coupled to a fractional horsepower motor to apply a periodic load to the system. A mathematical model of this dynamic system was developed to compare the results of this model with that of the instrumentation system. In another experiment, the instrumentation system was used on an existing motor-compressor system. The dynamic torque thus determined was again compared with the results of a simulation program.

In both the above experiments the evaluated dynamic torque and computed dynamic torque were within 5% of each other, demonstrating accuracy and reliability of this personal computer based dynamic torque determining system.

Rao, S. Madhusudana. "Optical Metrology:Techniques For The Measurement Of Optical Parameters." Thesis, Indian Institute of Science, 2000. http://hdl.handle.net/2005/204.

Sepúlveda, Toepfer Carlos. "Instrumentation, model identification and control of an experimental irrigation canal." Doctoral thesis, Universitat Politècnica de Catalunya, 2008. http://hdl.handle.net/10803/5951.

Cosic, Alija. "Analysis of a novel Transversal Flux Machine with a tubular cross-section for Free Piston Energy Converter application." Doctoral thesis, KTH, Elektriska maskiner och effektelektronik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-25834.

Karlsson, Sabina. "A review of lifetime assessment of tranformers and the use of Dissolved Gas Analysis." Thesis, KTH, Electromagnetic Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4828.

The Reliability-Centred Asset Maintenance (RCAM) is a structured approach to determine maintenance strategies for electric power system which is developed at KTH School of Electrical Engineering. RCAM focus on reliability aspects of the system and one of the main steps in RCAM in to modeling the relationship between reliability and the elect of maintenance for critical components within the system. The transformer has been identified as a critical component within a power system and in spring 2006 the Ph.D project “ Life time modeling and management of transformers ” was started within the RCAM group. The overall goal for the project is to develop a quantitative model for the lifetime distribution of a transformer with the final goal to implement the developed model into a maintenance planning.

Dissolved Gas Analysis (DGA) is a widely used technique to estimate the condition of oil-immersed transformers. Incipient faults within the transformer may be detected by analyzing the gases which are dissolved in the transformer-oil. The objective of this thesis is mainly to analyze available data from DGA, and investigate if this kind of data may be useful in quantitative modeling of the transformers reliability.

One conclusion from this work is that the difficulty in modeling the transformers reliability lies mainly in the limited availability of adequate data. Transformer is a reliable device and since the number of failures in critical in mathematical modeling of a component´s reliability it becomes very difficult to determine such models. Another aspect is the difficulty to draw conclusions about a transformer´s condition only from the DGA results. Although there are standards available for this purpose the DGA interpretation should also be based on other information about the particular transformed such as size, construction and operation circumstance. During this work no sources have been found from which the correlation between DGA data and probability for transformer failures could be estimated. For this reasons the proposed failure rate function in this work is based on several subjective assumptions and has not been possible to verify.

Pietiläinen, Kai. "Voltage sag ride-through of AC drives : control and analysis." Doctoral thesis, KTH, School of Electrical Engineering (EES), 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-450.

This thesis focuses on controller design and analysis for induction motor (IM) drives, flux control for electrically excited synchronous motors with damper windings (EESMs), and to enhance voltage sag ride-through ability and analysis for a wind turbine application with a full-power grid-connected active rectifier. The goal is to be able to use the existing equipment, without altering the hardware. Further, design and analysis of the stabilization of DC-link voltage oscillations for DC systems and inverter drives is studied, for example traction drives with voltage sags in focus.

The proposed IM controller is based on the field-weakening controller of Kim and Sul [31], which is further developed. Applying the proposed controller to voltage sag ride-through gives a cheap and simple ride-through system.

The EESM controller is based on setpoint adjustment for the field current controller. The analysis also concerns stability for the proposed flux controller.

The DC-link stabilization algorithm is designed following Mosskull [38], where a component is added to the current controller. The algorithm is further developed.

Analysis is the main focus, and concerns the impact of the different parameters involved. Proper parameter selection for the controller, switching frequency, and DC-link capacitor is given.

The impact of voltage sags is investigated for a power-grid-connected rectifier. Here, we analyze the impact of different types of voltage sags and phase-angle jumps. The analysis gives design rules for the DC-link capacitor and the switching frequency.

Experimental results and simulations verify the theoretical results.

Midya, Surajit. "Conducted and Radiated Electromagnetic Interference in Modern Electrified Railways with Emphasis on Pantograph Arcing." Doctoral thesis, Stockholm : Skolan för elektro- och systemteknik, Kungliga Tekniska högskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-10574.

Pfefferle, Kiel. "Design and evaluation of measurement instrumentation used for high energy impacts on fresh post-mortem human subjects." Connect to resource, 2006. http://hdl.handle.net/1811/6430.

thesis on instrumentation and control

2.S995/2.S998: Measurement, Instrumentation, Control and Analysis

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Class Information

Fall | Undergraduate and Graduate | 6 Units | Prerequisits: None

This course teaches students skills in designing and building instrumentation. It is a project intensive course in which students use a wide variety of experimental setups called MICA (Measurement, Instrumentation, Controls and Analysis) Workstations to learn about sensors, actuators, instrumentation and measurement techniques. The Workstations are used to perform experiments under the control of Mathematica Notebooks. Data analyses and model fitting and homework assignments are conducted using these Notebooks. The recent integration of ChatGPT into Mathematica provides virtual tutor to help the learning process. There are currently over 50 MICA Workstations available allowing experiments to be performed on a wide variety of phenomena including those found in optics, electronics, acoustics, biology, botany, material science, mechanics, thermal and fluid systems. Every few weeks students choose a Workstation to work with individually. They also design (using CAD modeling) and build a new Workstation and develop the Mathematica code to run experiments and perform data analyses and model parameter estimation.

Instructor Information

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Ian Hunter (Fall)

George N. Hatsopoulos Professor in Thermodynamics

Interest Areas

  • Micro-instrumentation, micro-fabrication, micro-robotics, medical devices.
  • Conducting polymers, artificial muscle fibers.
  • Laser imaging systems and instrumentation physics.

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Electronics and Electrical Engineering Design Forum

Where you can find electronics and electrical engineering forum questions & answers.

Thesis for Instrumentation and Control

I am a student of Instrumentation and Control in R.G.P.V Bhopal. I am quite confused with the topic I should choose for my mtech dissertation. Kindly help me.

Tagged:  Control Systems

Hi Abhishek,

As a suggestion, I would pick Programmable Logic Controllers (PLCs) or Distributed Control System (DCS) as a topic. Each has its pros and cons, but either of the two would work well in line with Instrumentation and Control.

You must log in to reply to this topic.

  • ViasionTech 2024-02-13 09:30:44 In the USA and parts of the EU, wooden electric transmission poles are commonly used due to their cost-effectiveness, widespread availability, and environmental friendliness. The decision is influenced by regional engineering standards, emphasizing factors like renewable resources and biodegradability. While wooden poles may have lower load-bearing capacity than those used in Turkey, they meet safety requirements for specific voltage and environmental conditions. To obtain detailed information about electric pole types and standards in a specific country, it is advisable to contact local electric utilities, government agencies, or industry associations for relevant documentation or standards....
  • Andy I 2024-02-09 02:37:17 Erdem, I do not work in electric transmission and distribution as you do, so take my comments as from a novice. I can't give you answers, but can share some of my personal observations - which might be wrong. I work in northeastern USA where wooden utility poles are plentiful. Why are they used here? Probably because they grow on trees. :-) 50, 100, or 150 years ago when they were erecting them, they were the best choice. Understand the difference between the local low-voltage (<250 V) power distribution in residential neighborhoods, and high-voltage (12 KV and up) lines that...
  • PeterTraneus Anderson 2024-01-23 15:01:08 The buck and boost converters will generate switching noise that will interfere with radio reception unless the converters are very well shielded and filtered on both input and output....
  • alivebricks 2024-01-17 03:53:34 Thanks...
  • ViasionTech 2024-01-16 10:35:15 For collaborative PCB design, platforms like GitHub, GitLab, and Bitbucket offer version control. Tools like Altium 365 and Upverter provide cloud-based solutions for real-time collaboration. Communication platforms like Slack or Google Workspace enhance coordination and design review discussions. Consider ease of use and integration when choosing a platform for your project....
  • Hari Ghadia 2024-01-14 12:48:02 Maintaining signal integrity in high-frequency circuits is crucial for achieving reliable and accurate performance. Here are some best practices to minimize signal loss and reduce crosstalk: 1. Proper PCB Layout: Layer Stackup: Use a controlled impedance stackup to match the characteristic impedance of your transmission lines. This helps in minimizing signal reflections and losses. Ground Planes: Ensure a solid ground plane for each signal layer to provide a low-impedance return path for signals and reduce electromagnetic interference. Separate Analog and Digital Sections: Keep analog and digital signals on separate PCB sections to minimize crosstalk between them. Signal Traces: Keep signal...
  • andy-i 2024-01-14 12:48:01 The lowest Rds(ON) would be 0. I don't think there is any place in the world where you could have a negative Rds. You're welcome....
  • david-ashton 2024-01-14 12:47:29 John you'd want to find a replacement with similar voltage and current ratings at the least, else you risk blowing the new part as soon as you switch on. Other characteristis like Rds and gate capacitances might be critical depending on the design, but are less likely to be important....

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COMMENTS

  1. Possible Topics for Instrumentation Thesis

    Mar 9, 2018 #2 Unless you are referring to automatic controls and modelling, the best resource you have is working in an operating environment. W W.L. Mostia Mar 9, 2018 #3 Some possible topics: Wireless control systems Cybersecurity in instrument and control systems (maybe firewalls for PLCs or design for cybersecurity and safety, for example)

  2. PDF High Precision Instrumentation and Control

    INSTRUMENTATION AND CONTROL YANG RUI (B.Eng., NATIONAL UNIVERSITY OF SINGAPORE) A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF PHILOSOPHY ... This thesis is dedicated to my family for their infinite stability margin. ii. Contents Acknowledgments i Summary vii List of Tables x List of Figures xi List of Abbreviations xvi 1 Introduction 1

  3. Research Area: Controls, Instrumentation And Robotics

    Faculty Courses Controls, Instrumentation and Robotics The CIR area is based on strong core disciplinary competencies in dynamic systems and control, supplemented by knowledge of a diverse array of topics, including mechanical design, manufacturing, electronics, materials, and biology.

  4. What are the current research areas for pursuing Master Thesis in the

    What are the current research areas for pursuing Master Thesis in the field of controls and instrumentation? I am a master candidate, i need to do a thesis related to the topic. I would...

  5. Instrumentation and control engineering

    View Instrumentation and control engineering Research Papers on Academia.edu for free.

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    Ruisong Yan Yejun Zhou Takaaki Yoshimura Keisuke Manabe Hiroyuki Sugimori Explore the latest full-text research PDFs, articles, conference papers, preprints and more on INSTRUMENTATION...

  7. Master of Intelligent Process Control

    The Master program consists of 8 core courses from different disciplines that cover four domains: Modeling and simulation, control and intelligent instrumentation networks, advanced controller design techniques, Data analyses, AI/Machine learning in decision making. In addition, the student must finish a final project during the last two semesters.

  8. Final theses

    Final theses. In this list you will find your thesis proposals. In case of interest contact directly the teacher proposing the topic and discuss details. The topic can be eventually modified after a mutual agreement. Students can also try to propose an own topic when they find a supervisor from the department willing to supervise such a topic ...

  9. Control, Instrumentation and Mechatronics: Theory and Practice

    About this book. This proceeding includes original and peer-reviewed research papers from the 3rd International Conference on Control, Instrumentation and Mechatronics Engineering (CIM2022). The conference is a virtual conference held on 2-3 March 2022. The topics covered latest work and finding in the area of Control Engineering, Mechatronics ...

  10. Frontiers in Control Engineering

    Snow and Ice Disaster: Formation Mechanism and Control Engineering. An interdisciplinary journal that explores the fundamental role control systems play in the automation and regulation of engineering processes, from networked control to mechatronic systems.

  11. Dissertations / Theses: 'Instrumentation and control ...

    This thesis provides a detailed discussion of the instrumentation, modeling, and control of a ducted fan UAV. The dynamic model of the UAV is computed from a simplified parametric model. Unknown parameters of the model are found from system identification based on flight data.

  12. Research Projects

    Automated Analysis and Understanding of Biological Cells from Microscopic Images Cell identification and counting are experimental procedures used across many scientific disciplines, because of their fundamental-biology and clinical relevance. For example, research in follicle development in mammalian ovaries requires detection, size-measurements and counting of follicles. These techniques are ...

  13. Hot topics in Control Engineering

    Research Hot topics in Control Engineering Research: For 2021, programmable logic controllers (PLCs), control system integration, instrumentation, industrial wireless, industrial PCs, industrial Ethernet, and advanced process control are among hot topics; 18 topics are in the top 10; 62 are in the top 20. By Mark T. Hoske August 17, 2020

  14. Dissertations / Theses: 'Instrumentation and control systems ...

    List of dissertations / theses on the topic 'Instrumentation and control systems'. Scholarly publications with full text pdf download. Related research topic ideas.

  15. Hot topics in Control Engineering for 2021

    Learning Objectives. Review top 10 Control Engineering articles posted in 2021 and Control Engineering hot topics during the last five months of 2021. Discover why these top 3 covers of 2021 were chosen: IIoT for automation, calibration, applying automation. Learn from the top 10 Control Engineering articles posted prior to 2021: tutorial topics.

  16. What Is Instrumentation & Control Engineering?

    What Is Instrumentation & Control Engineering? | Integrated Flow Solutions Understanding Balance of Plant (BOP) Control Systems January 31, 2024 - The term "Balance of Plant" (BOP) refers to all the… ...

  17. Dissertations / Theses: 'Instrumentation and control'

    List of dissertations / theses on the topic 'Instrumentation and control'. Scholarly publications with full text pdf download. Related research topic ideas.

  18. Instrumentation and control engineering

    Instrumentation and control engineering (ICE) is a branch of engineering that studies the measurement and control of process variables, and the design and implementation of systems that incorporate them. Process variables include pressure, temperature, humidity, flow, pH, force and speed. ICE combines two branches of engineering.

  19. Dissertations / Theses: 'Instrumentation and measurement'

    Using MicroDACS* SMT ASIC technology, an instrumentation and control system is designed to meet the low cost, fault tolerant, data handling requirements for advanced launch vehicles of the 901's. Advanced launch vehicles will require low cost autonomous, and reliable measurement circuits. ... This thesis aims to develop control algorithms for ...

  20. Measurement, Instrumentation, Control and Analysis

    This course teaches students skills in designing and building instrumentation. It is a project intensive course in which students use a wide variety of experimental setups called MICA (Measurement, Instrumentation, Controls and Analysis) Workstations to learn about sensors, actuators, instrumentation and measurement techniques.

  21. Thesis for Instrumentation and Control

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