Optimization of the Parameters of RISE Feedback Controller Using Genetic Algorithm

Optimization of the Parameters of RISE Feedback Controller Using Genetic Algorithm

A control methodology based on a nonlinear control algorithm and optimization technique is presented in this paper. A controller called “the robust integral of the sign of the error” (in short, RISE) is applied to control chaotic systems. The optimum RISE controller parameters are obtained via genet...

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Main Authors: Fayiz Abu Khadra, Jaber Abu Qudeiri, Mohammed Alkahtani
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2016/3863147
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spelling doaj-c9bc5ab412e446f0b4d95c6f90a4ac022020-11-24T22:37:18ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472016-01-01201610.1155/2016/38631473863147Optimization of the Parameters of RISE Feedback Controller Using Genetic AlgorithmFayiz Abu Khadra0Jaber Abu Qudeiri1Mohammed Alkahtani2Faculty of Engineering, King Abdulaziz University, Rabigh 21911, Saudi ArabiaPrincess Fatima Alnijiris’s Research Chair for Advanced Manufacturing Technology (FARCAMT), King Saud University, Riyadh 11421, Saudi ArabiaIndustrial Engineering Department, King Saud University, Riyadh 11421, Saudi ArabiaA control methodology based on a nonlinear control algorithm and optimization technique is presented in this paper. A controller called “the robust integral of the sign of the error” (in short, RISE) is applied to control chaotic systems. The optimum RISE controller parameters are obtained via genetic algorithm optimization techniques. RISE control methodology is implemented on two chaotic systems, namely, the Duffing-Holms and Van der Pol systems. Numerical simulations showed the good performance of the optimized RISE controller in tracking task and its ability to ensure robustness with respect to bounded external disturbances.http://dx.doi.org/10.1155/2016/3863147
collection DOAJ
language English
format Article
sources DOAJ
author Fayiz Abu Khadra
Jaber Abu Qudeiri
Mohammed Alkahtani
spellingShingle Fayiz Abu Khadra
Jaber Abu Qudeiri
Mohammed Alkahtani
Optimization of the Parameters of RISE Feedback Controller Using Genetic Algorithm
Mathematical Problems in Engineering
author_facet Fayiz Abu Khadra
Jaber Abu Qudeiri
Mohammed Alkahtani
author_sort Fayiz Abu Khadra
title Optimization of the Parameters of RISE Feedback Controller Using Genetic Algorithm
title_short Optimization of the Parameters of RISE Feedback Controller Using Genetic Algorithm
title_full Optimization of the Parameters of RISE Feedback Controller Using Genetic Algorithm
title_fullStr Optimization of the Parameters of RISE Feedback Controller Using Genetic Algorithm
title_full_unstemmed Optimization of the Parameters of RISE Feedback Controller Using Genetic Algorithm
title_sort optimization of the parameters of rise feedback controller using genetic algorithm
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2016-01-01
description A control methodology based on a nonlinear control algorithm and optimization technique is presented in this paper. A controller called “the robust integral of the sign of the error” (in short, RISE) is applied to control chaotic systems. The optimum RISE controller parameters are obtained via genetic algorithm optimization techniques. RISE control methodology is implemented on two chaotic systems, namely, the Duffing-Holms and Van der Pol systems. Numerical simulations showed the good performance of the optimized RISE controller in tracking task and its ability to ensure robustness with respect to bounded external disturbances.
url http://dx.doi.org/10.1155/2016/3863147
work_keys_str_mv AT fayizabukhadra optimizationoftheparametersofrisefeedbackcontrollerusinggeneticalgorithm
AT jaberabuqudeiri optimizationoftheparametersofrisefeedbackcontrollerusinggeneticalgorithm
AT mohammedalkahtani optimizationoftheparametersofrisefeedbackcontrollerusinggeneticalgorithm
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