Design of Nonlinear PID Neural Controller for the Speed Control of a Permanent Magnet DC Motor Model based on Optimization Algorithm

In this paper, the speed control of the real DC motor is experimentally investigated using nonlinear PID neural network controller. As a simple and fast tuning algorithm, two optimization techniques are used; trial and error method and particle swarm optimization PSO algorithm in order to tune the n...

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Autor principal: Ahmed Sabah Al-Araji
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Lenguaje:EN
Publicado: Al-Khwarizmi College of Engineering – University of Baghdad 2014
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Acceso en línea:https://doaj.org/article/dd75d41ec5b44b72946d88d21ac36c7d
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spelling oai:doaj.org-article:dd75d41ec5b44b72946d88d21ac36c7d2021-12-02T07:01:27ZDesign of Nonlinear PID Neural Controller for the Speed Control of a Permanent Magnet DC Motor Model based on Optimization Algorithm 1818-1171https://doaj.org/article/dd75d41ec5b44b72946d88d21ac36c7d2014-03-01T00:00:00Zhttp://www.iasj.net/iasj?func=fulltext&aId=87771https://doaj.org/toc/1818-1171In this paper, the speed control of the real DC motor is experimentally investigated using nonlinear PID neural network controller. As a simple and fast tuning algorithm, two optimization techniques are used; trial and error method and particle swarm optimization PSO algorithm in order to tune the nonlinear PID neural controller's parameters and to find best speed response of the DC motor. To save time in the real system, a Matlab simulation package is used to carry out these algorithms to tune and find the best values of the nonlinear PID parameters. Then these parameters are used in the designed real time nonlinear PID controller system based on LabVIEW package. Simulation and experimental results are compared with each other and showed the effectiveness of the proposed control algorithm in terms of fast and smooth dynamic response for the speed control of the real DC motor.Ahmed Sabah Al-Araji Al-Khwarizmi College of Engineering – University of BaghdadarticleChemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 10, Iss 1, Pp 72-82 (2014)
institution DOAJ
collection DOAJ
language EN
topic Chemical engineering
TP155-156
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle Chemical engineering
TP155-156
Engineering (General). Civil engineering (General)
TA1-2040
Ahmed Sabah Al-Araji
Design of Nonlinear PID Neural Controller for the Speed Control of a Permanent Magnet DC Motor Model based on Optimization Algorithm
description In this paper, the speed control of the real DC motor is experimentally investigated using nonlinear PID neural network controller. As a simple and fast tuning algorithm, two optimization techniques are used; trial and error method and particle swarm optimization PSO algorithm in order to tune the nonlinear PID neural controller's parameters and to find best speed response of the DC motor. To save time in the real system, a Matlab simulation package is used to carry out these algorithms to tune and find the best values of the nonlinear PID parameters. Then these parameters are used in the designed real time nonlinear PID controller system based on LabVIEW package. Simulation and experimental results are compared with each other and showed the effectiveness of the proposed control algorithm in terms of fast and smooth dynamic response for the speed control of the real DC motor.
format article
author Ahmed Sabah Al-Araji
author_facet Ahmed Sabah Al-Araji
author_sort Ahmed Sabah Al-Araji
title Design of Nonlinear PID Neural Controller for the Speed Control of a Permanent Magnet DC Motor Model based on Optimization Algorithm
title_short Design of Nonlinear PID Neural Controller for the Speed Control of a Permanent Magnet DC Motor Model based on Optimization Algorithm
title_full Design of Nonlinear PID Neural Controller for the Speed Control of a Permanent Magnet DC Motor Model based on Optimization Algorithm
title_fullStr Design of Nonlinear PID Neural Controller for the Speed Control of a Permanent Magnet DC Motor Model based on Optimization Algorithm
title_full_unstemmed Design of Nonlinear PID Neural Controller for the Speed Control of a Permanent Magnet DC Motor Model based on Optimization Algorithm
title_sort design of nonlinear pid neural controller for the speed control of a permanent magnet dc motor model based on optimization algorithm
publisher Al-Khwarizmi College of Engineering – University of Baghdad
publishDate 2014
url https://doaj.org/article/dd75d41ec5b44b72946d88d21ac36c7d
work_keys_str_mv AT ahmedsabahalaraji designofnonlinearpidneuralcontrollerforthespeedcontrolofapermanentmagnetdcmotormodelbasedonoptimizationalgorithm
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