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...

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Autor principal:	Ahmed Sabah Al-Araji
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2017
Materias:	Nonlinear PID Controller DC Motor Particle Swarm Optimization Neural Networks MATLAB LabVIEW Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/1173fd69ce52448d852b082f447d36a2
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spelling	oai:doaj.org-article:1173fd69ce52448d852b082f447d36a22021-12-02T10:53:32ZDesign of Nonlinear PID Neural Controller for the Speed Control of a Permanent Magnet DC Motor Model based on Optimization Algorithm1818-11712312-0789https://doaj.org/article/1173fd69ce52448d852b082f447d36a22017-03-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/192https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789 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. Ahmed Sabah Al-ArajiAl-Khwarizmi College of Engineering – University of BaghdadarticleNonlinear PID ControllerDC MotorParticle Swarm OptimizationNeural NetworksMATLABLabVIEWChemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 10, Iss 1 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Nonlinear PID Controller DC Motor Particle Swarm Optimization Neural Networks MATLAB LabVIEW Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Nonlinear PID Controller DC Motor Particle Swarm Optimization Neural Networks MATLAB LabVIEW 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	2017
url	https://doaj.org/article/1173fd69ce52448d852b082f447d36a2
work_keys_str_mv	AT ahmedsabahalaraji designofnonlinearpidneuralcontrollerforthespeedcontrolofapermanentmagnetdcmotormodelbasedonoptimizationalgorithm
_version_	1718396513961377792

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

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