Optimization of pi controller for level control of water tank system

The liquid level control is one of the most important parameter in most of industrial process such as in water treatment plant. The general control objective in water treatment system is to maintained a desired water level of the water tank when there is an inflow and outflow at the respective tank....

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Main Author: Jewahid, Sarah
Format: Thesis
Language:English
Published: 2020
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Online Access:http://eprints.utm.my/id/eprint/93002/1/SarahJewahidMSKE2020.pdf
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spelling my-utm-ep.930022021-11-07T06:00:20Z Optimization of pi controller for level control of water tank system 2020 Jewahid, Sarah TK Electrical engineering. Electronics Nuclear engineering The liquid level control is one of the most important parameter in most of industrial process such as in water treatment plant. The general control objective in water treatment system is to maintained a desired water level of the water tank when there is an inflow and outflow at the respective tank. Although the water tank system is considered as a simple plant from construction perspective, the control action faces with various challenges due to the complexity of the system which are influenced by nonlinear behavior and uncertainties. Inadequate control strategies to deal with the nonlinearities and uncertainties appearance will contribute to inaccurate levelling process. Proportional -Integral - Derivative (PID) controller is widely used as control algorithm in many process due to the simplicity and ease to use. However, conventional PID controller is not satisfactory to water level control system because it cannot perform better in nonlinear system as the controller parameters need to be tuned properly and continuously throughout the whole process. Therefore, this project proposes an optimized method to determine optimum PID control parameters for level control of water tank system using swarm optimization method. The solution is based on the idea that accurate selection of controller parameters in dealing with nonlinearities and uncertainties will contribute to high precision levelling process. The approach has several notable merits, namely rapid convergence, simplicity in determining algorithm parameters and finding the best optimal point. A comprehensive verification using simulation is carried out to determine the performance of the proposed method. From the simulation work, it is shows that swarm optimization method validates its ability to tune up controller parameters with high level of precision compared with manually adjustments of the controller parameters. The proposed method is shows it has better performance than manual tuning PID controller in terms of the time response. 2020 Thesis http://eprints.utm.my/id/eprint/93002/ http://eprints.utm.my/id/eprint/93002/1/SarahJewahidMSKE2020.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:135905 masters Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering Faculty of Engineering - School of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Jewahid, Sarah
Optimization of pi controller for level control of water tank system
description The liquid level control is one of the most important parameter in most of industrial process such as in water treatment plant. The general control objective in water treatment system is to maintained a desired water level of the water tank when there is an inflow and outflow at the respective tank. Although the water tank system is considered as a simple plant from construction perspective, the control action faces with various challenges due to the complexity of the system which are influenced by nonlinear behavior and uncertainties. Inadequate control strategies to deal with the nonlinearities and uncertainties appearance will contribute to inaccurate levelling process. Proportional -Integral - Derivative (PID) controller is widely used as control algorithm in many process due to the simplicity and ease to use. However, conventional PID controller is not satisfactory to water level control system because it cannot perform better in nonlinear system as the controller parameters need to be tuned properly and continuously throughout the whole process. Therefore, this project proposes an optimized method to determine optimum PID control parameters for level control of water tank system using swarm optimization method. The solution is based on the idea that accurate selection of controller parameters in dealing with nonlinearities and uncertainties will contribute to high precision levelling process. The approach has several notable merits, namely rapid convergence, simplicity in determining algorithm parameters and finding the best optimal point. A comprehensive verification using simulation is carried out to determine the performance of the proposed method. From the simulation work, it is shows that swarm optimization method validates its ability to tune up controller parameters with high level of precision compared with manually adjustments of the controller parameters. The proposed method is shows it has better performance than manual tuning PID controller in terms of the time response.
format Thesis
qualification_level Master's degree
author Jewahid, Sarah
author_facet Jewahid, Sarah
author_sort Jewahid, Sarah
title Optimization of pi controller for level control of water tank system
title_short Optimization of pi controller for level control of water tank system
title_full Optimization of pi controller for level control of water tank system
title_fullStr Optimization of pi controller for level control of water tank system
title_full_unstemmed Optimization of pi controller for level control of water tank system
title_sort optimization of pi controller for level control of water tank system
granting_institution Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering
granting_department Faculty of Engineering - School of Electrical Engineering
publishDate 2020
url http://eprints.utm.my/id/eprint/93002/1/SarahJewahidMSKE2020.pdf
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