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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Bibliographic Details
Published inDiscrete dynamics in nature and society Vol. 2020; no. 2020; pp. 1 - 8
Main Authors Zhang, Qingfeng, Gang, Mingyi, Xia, Jianwei, Xia, Xingguo, Wang, Jing
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 2020
Hindawi
John Wiley & Sons, Inc
Hindawi Limited
Wiley
Subjects
Algorithms
Analysis
Computer simulation
Controllers
Design
Feedback
Friction
Fuzzy control
Fuzzy sets
Fuzzy systems
Mathematical models
Optimization
Pendulums
Performance indices
Variables
China
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Summary: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.
ISSN:1026-0226
1607-887X
DOI:10.1155/2020/3639508