Neuro-Self Tuning Adaptive Controller for Non-Linear Dynamical Systems

In this paper, a self-tuning adaptive neural controller strategy for unknown nonlinear system is presented. The system considered is described by an unknown NARMA-L2 model and a feedforward neural network is used to learn the model with two stages. The first stage is learned off-line with two confi...

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Autor principal:	Ahmed Sabah Abdul Ameer Al-Araji
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2017
Materias:	Self-Tuning > - Neuro Network > - Adaptive Controller. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/fcbbccbadb5544f4b17cf5a1bd2cb7a1
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id	oai:doaj.org-article:fcbbccbadb5544f4b17cf5a1bd2cb7a1
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spelling	oai:doaj.org-article:fcbbccbadb5544f4b17cf5a1bd2cb7a12021-12-02T10:50:06ZNeuro-Self Tuning Adaptive Controller for Non-Linear Dynamical Systems1818-11712312-0789https://doaj.org/article/fcbbccbadb5544f4b17cf5a1bd2cb7a12017-09-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/16https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789 In this paper, a self-tuning adaptive neural controller strategy for unknown nonlinear system is presented. The system considered is described by an unknown NARMA-L2 model and a feedforward neural network is used to learn the model with two stages. The first stage is learned off-line with two configuration serial-parallel model & parallel model to ensure that model output is equal to actual output of the system & to find the jacobain of the system. Which appears to be of critical importance parameter as it is used for the feedback controller and the second stage is learned on-line to modify the weights of the model in order to control the variable parameters that will occur to the system. A back propagation neural network is applied to learn the control structure for self-tuning PID type neuro-controller. Where the neural network is used to minimize the error function by adjusting the PID gains. Simulation results show that the self-tuning PID scheme can deal with a large unknown nonlinearity Ahmed Sabah Abdul Ameer Al-ArajiAl-Khwarizmi College of Engineering – University of BaghdadarticleSelf-Tuning --- Neuro Network --- Adaptive Controller.Chemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 1, Iss 1 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Self-Tuning --- Neuro Network --- Adaptive Controller. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Self-Tuning --- Neuro Network --- Adaptive Controller. Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Ahmed Sabah Abdul Ameer Al-Araji Neuro-Self Tuning Adaptive Controller for Non-Linear Dynamical Systems
description	In this paper, a self-tuning adaptive neural controller strategy for unknown nonlinear system is presented. The system considered is described by an unknown NARMA-L2 model and a feedforward neural network is used to learn the model with two stages. The first stage is learned off-line with two configuration serial-parallel model & parallel model to ensure that model output is equal to actual output of the system & to find the jacobain of the system. Which appears to be of critical importance parameter as it is used for the feedback controller and the second stage is learned on-line to modify the weights of the model in order to control the variable parameters that will occur to the system. A back propagation neural network is applied to learn the control structure for self-tuning PID type neuro-controller. Where the neural network is used to minimize the error function by adjusting the PID gains. Simulation results show that the self-tuning PID scheme can deal with a large unknown nonlinearity
format	article
author	Ahmed Sabah Abdul Ameer Al-Araji
author_facet	Ahmed Sabah Abdul Ameer Al-Araji
author_sort	Ahmed Sabah Abdul Ameer Al-Araji
title	Neuro-Self Tuning Adaptive Controller for Non-Linear Dynamical Systems
title_short	Neuro-Self Tuning Adaptive Controller for Non-Linear Dynamical Systems
title_full	Neuro-Self Tuning Adaptive Controller for Non-Linear Dynamical Systems
title_fullStr	Neuro-Self Tuning Adaptive Controller for Non-Linear Dynamical Systems
title_full_unstemmed	Neuro-Self Tuning Adaptive Controller for Non-Linear Dynamical Systems
title_sort	neuro-self tuning adaptive controller for non-linear dynamical systems
publisher	Al-Khwarizmi College of Engineering – University of Baghdad
publishDate	2017
url	https://doaj.org/article/fcbbccbadb5544f4b17cf5a1bd2cb7a1
work_keys_str_mv	AT ahmedsabahabdulameeralaraji neuroselftuningadaptivecontrollerfornonlineardynamicalsystems
_version_	1718396626096095232

Neuro-Self Tuning Adaptive Controller for Non-Linear Dynamical Systems

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