Discrete Dynamics-Based Parameter Analysis and Optimization of Fuzzy Controller for Inverted Pendulum Systems Based on Chaos Algorithm
In order to reduce the difficulty in the selection of the quantization factor and the proportion factor in the general fuzzy controller, a controller with the novel algorithm based on the Logistic chaotic variable is proposed in this paper. By introducing the chaotic variable factor into the global...
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2020-01-01
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Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2020/3639508 |
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doaj-ee271a990be249c7bed2aa79ae0f300f2020-11-25T03:26:26ZengHindawi LimitedDiscrete Dynamics in Nature and Society1026-02261607-887X2020-01-01202010.1155/2020/36395083639508Discrete Dynamics-Based Parameter Analysis and Optimization of Fuzzy Controller for Inverted Pendulum Systems Based on Chaos AlgorithmXingguo Xia0Jianwei Xia1Mingyi Gang2Qingfeng Zhang3Jing Wang4Department of Electrical Engineering, Maanshan Technical College, Ma’anshan 243031, ChinaSchool of Mathematical Sciences, Liaocheng University, Liaocheng 252059, ChinaDepartment of Electrical Engineering, Maanshan Technical College, Ma’anshan 243031, ChinaDepartment of Electrical Engineering, Maanshan Technical College, Ma’anshan 243031, ChinaSchool of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan 243002, ChinaIn order to reduce the difficulty in the selection of the quantization factor and the proportion factor in the general fuzzy controller, a controller with the novel algorithm based on the Logistic chaotic variable is proposed in this paper. By introducing the chaotic variable factor into the global search, the suboptimal solution can be obtained and the optimization interval reduced. The global optimal solution is obtained in the vicinity of the suboptimal solution under an integrated performance index. Finally, the control scheme is applied to the control of a double inverted pendulum model. The simulated results show the effectiveness of the proposed method.http://dx.doi.org/10.1155/2020/3639508 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xingguo Xia Jianwei Xia Mingyi Gang Qingfeng Zhang Jing Wang |
spellingShingle |
Xingguo Xia Jianwei Xia Mingyi Gang Qingfeng Zhang Jing Wang Discrete Dynamics-Based Parameter Analysis and Optimization of Fuzzy Controller for Inverted Pendulum Systems Based on Chaos Algorithm Discrete Dynamics in Nature and Society |
author_facet |
Xingguo Xia Jianwei Xia Mingyi Gang Qingfeng Zhang Jing Wang |
author_sort |
Xingguo Xia |
title |
Discrete Dynamics-Based Parameter Analysis and Optimization of Fuzzy Controller for Inverted Pendulum Systems Based on Chaos Algorithm |
title_short |
Discrete Dynamics-Based Parameter Analysis and Optimization of Fuzzy Controller for Inverted Pendulum Systems Based on Chaos Algorithm |
title_full |
Discrete Dynamics-Based Parameter Analysis and Optimization of Fuzzy Controller for Inverted Pendulum Systems Based on Chaos Algorithm |
title_fullStr |
Discrete Dynamics-Based Parameter Analysis and Optimization of Fuzzy Controller for Inverted Pendulum Systems Based on Chaos Algorithm |
title_full_unstemmed |
Discrete Dynamics-Based Parameter Analysis and Optimization of Fuzzy Controller for Inverted Pendulum Systems Based on Chaos Algorithm |
title_sort |
discrete dynamics-based parameter analysis and optimization of fuzzy controller for inverted pendulum systems based on chaos algorithm |
publisher |
Hindawi Limited |
series |
Discrete Dynamics in Nature and Society |
issn |
1026-0226 1607-887X |
publishDate |
2020-01-01 |
description |
In order to reduce the difficulty in the selection of the quantization factor and the proportion factor in the general fuzzy controller, a controller with the novel algorithm based on the Logistic chaotic variable is proposed in this paper. By introducing the chaotic variable factor into the global search, the suboptimal solution can be obtained and the optimization interval reduced. The global optimal solution is obtained in the vicinity of the suboptimal solution under an integrated performance index. Finally, the control scheme is applied to the control of a double inverted pendulum model. The simulated results show the effectiveness of the proposed method. |
url |
http://dx.doi.org/10.1155/2020/3639508 |
work_keys_str_mv |
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_version_ |
1715214938937491456 |