Self-tuning PID controller of an activated sludge process using evaluationary algorithm

Proportional Integral Derivative (PID) controllers are widely used in many fields because they are simple and effective. Tuning of the PID controller parameters is not easy and does not give the optimal required response, especially with non-liner system. In the last two decades many intelligent opt...

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Main Author:	A. Lhussein, Munther Mohammed
Format:	Thesis
Language:	English
Published:	2014
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/44621/1/MuntherMohammedALhussinMFKE2014.pdf
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id	my-utm-ep.44621
record_format	uketd_dc
spelling	my-utm-ep.446212017-09-05T07:51:39Z Self-tuning PID controller of an activated sludge process using evaluationary algorithm 2014-01 A. Lhussein, Munther Mohammed TJ Mechanical engineering and machinery Proportional Integral Derivative (PID) controllers are widely used in many fields because they are simple and effective. Tuning of the PID controller parameters is not easy and does not give the optimal required response, especially with non-liner system. In the last two decades many intelligent optimization techniques were took attention of researchers like: Particle Swarm Optimization (PSO) and Gravitational Searching Algorithm (GSA) techniques. This research is represented the non-linear mathematical model multi input multi output MIMO and simulation of the wastewater treatment plane (WWTP) with closed loop PID controller, And is aimed to investigate a new multivariable control methodology using a self-tuning PID control algorithm to control the concentration of dissolved oxygen and nitrate of a wastewater treatment plane. The traditional PID tuning technique is proposed as a point of comparison. Relative Gain Array (RGA) is applied which yields identity matrix for both reduced model. Integral Time Square Error (ITSE) has been chosen as the objective function. Two of intelligent optimization techniques: GSA is proposed in this research, and PSO is from previous research to tune the PID controller parameters. 2014-01 Thesis http://eprints.utm.my/id/eprint/44621/ http://eprints.utm.my/id/eprint/44621/1/MuntherMohammedALhussinMFKE2014.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery A. Lhussein, Munther Mohammed Self-tuning PID controller of an activated sludge process using evaluationary algorithm
description	Proportional Integral Derivative (PID) controllers are widely used in many fields because they are simple and effective. Tuning of the PID controller parameters is not easy and does not give the optimal required response, especially with non-liner system. In the last two decades many intelligent optimization techniques were took attention of researchers like: Particle Swarm Optimization (PSO) and Gravitational Searching Algorithm (GSA) techniques. This research is represented the non-linear mathematical model multi input multi output MIMO and simulation of the wastewater treatment plane (WWTP) with closed loop PID controller, And is aimed to investigate a new multivariable control methodology using a self-tuning PID control algorithm to control the concentration of dissolved oxygen and nitrate of a wastewater treatment plane. The traditional PID tuning technique is proposed as a point of comparison. Relative Gain Array (RGA) is applied which yields identity matrix for both reduced model. Integral Time Square Error (ITSE) has been chosen as the objective function. Two of intelligent optimization techniques: GSA is proposed in this research, and PSO is from previous research to tune the PID controller parameters.
format	Thesis
qualification_level	Master's degree
author	A. Lhussein, Munther Mohammed
author_facet	A. Lhussein, Munther Mohammed
author_sort	A. Lhussein, Munther Mohammed
title	Self-tuning PID controller of an activated sludge process using evaluationary algorithm
title_short	Self-tuning PID controller of an activated sludge process using evaluationary algorithm
title_full	Self-tuning PID controller of an activated sludge process using evaluationary algorithm
title_fullStr	Self-tuning PID controller of an activated sludge process using evaluationary algorithm
title_full_unstemmed	Self-tuning PID controller of an activated sludge process using evaluationary algorithm
title_sort	self-tuning pid controller of an activated sludge process using evaluationary algorithm
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2014
url	http://eprints.utm.my/id/eprint/44621/1/MuntherMohammedALhussinMFKE2014.pdf
_version_	1747817258190635008

Self-tuning PID controller of an activated sludge process using evaluationary algorithm

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