Design of an Adaptive PID Neural Controller for Continuous Stirred Tank Reactor based on Particle Swarm Optimization

Design of an Adaptive PID Neural Controller for Continuous Stirred Tank Reactor based on Particle Swarm Optimization

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A particle swarm optimization algorithm and neural network like self-tuning PID controller for CSTR system is presented. The scheme of the discrete-time PID control structure is based on neural network and tuned the parameters of the PID controller by using a particle swarm optimization PSO techniqu...

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Main Authors: Khulood A. Dagher, Ahmed S. Al-Araji
Format: Article
Language:English
Published: Al-Khwarizmi College of Engineering – University of Baghdad 2013-12-01
Series:Al-Khawarizmi Engineering Journal
Online Access:http://www.iasj.net/iasj?func=fulltext&aId=82638
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spelling doaj-67983fa804714254aa5176c04c50ac762020-11-25T01:13:40Zeng Al-Khwarizmi College of Engineering – University of BaghdadAl-Khawarizmi Engineering Journal1818-11712013-12-01944653Design of an Adaptive PID Neural Controller for Continuous Stirred Tank Reactor based on Particle Swarm Optimization Khulood A. Dagher 0Ahmed S. Al-Araji 1University of BaghdadUniversity of TechnologyA particle swarm optimization algorithm and neural network like self-tuning PID controller for CSTR system is presented. The scheme of the discrete-time PID control structure is based on neural network and tuned the parameters of the PID controller by using a particle swarm optimization PSO technique as a simple and fast training algorithm. The proposed method has advantage that it is not necessary to use a combined structure of identification and decision because it used PSO. Simulation results show the effectiveness of the proposed adaptive PID neural control algorithm in terms of minimum tracking error and smoothness control signal obtained for non-linear dynamical CSTR system.http://www.iasj.net/iasj?func=fulltext&aId=82638
collection DOAJ
language English
format Article
sources DOAJ
author Khulood A. Dagher
Ahmed S. Al-Araji
spellingShingle Khulood A. Dagher
Ahmed S. Al-Araji
Design of an Adaptive PID Neural Controller for Continuous Stirred Tank Reactor based on Particle Swarm Optimization
Al-Khawarizmi Engineering Journal
author_facet Khulood A. Dagher
Ahmed S. Al-Araji
author_sort Khulood A. Dagher
title Design of an Adaptive PID Neural Controller for Continuous Stirred Tank Reactor based on Particle Swarm Optimization
title_short Design of an Adaptive PID Neural Controller for Continuous Stirred Tank Reactor based on Particle Swarm Optimization
title_full Design of an Adaptive PID Neural Controller for Continuous Stirred Tank Reactor based on Particle Swarm Optimization
title_fullStr Design of an Adaptive PID Neural Controller for Continuous Stirred Tank Reactor based on Particle Swarm Optimization
title_full_unstemmed Design of an Adaptive PID Neural Controller for Continuous Stirred Tank Reactor based on Particle Swarm Optimization
title_sort design of an adaptive pid neural controller for continuous stirred tank reactor based on particle swarm optimization
publisher Al-Khwarizmi College of Engineering – University of Baghdad
series Al-Khawarizmi Engineering Journal
issn 1818-1171
publishDate 2013-12-01
description A particle swarm optimization algorithm and neural network like self-tuning PID controller for CSTR system is presented. The scheme of the discrete-time PID control structure is based on neural network and tuned the parameters of the PID controller by using a particle swarm optimization PSO technique as a simple and fast training algorithm. The proposed method has advantage that it is not necessary to use a combined structure of identification and decision because it used PSO. Simulation results show the effectiveness of the proposed adaptive PID neural control algorithm in terms of minimum tracking error and smoothness control signal obtained for non-linear dynamical CSTR system.
url http://www.iasj.net/iasj?func=fulltext&aId=82638
work_keys_str_mv AT khuloodadagher designofanadaptivepidneuralcontrollerforcontinuousstirredtankreactorbasedonparticleswarmoptimization
AT ahmedsalaraji designofanadaptivepidneuralcontrollerforcontinuousstirredtankreactorbasedonparticleswarmoptimization
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