Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/60318
Title: Robust optimal fuzzy control electrical position servo system by a novel model following approach
Other Titles: 提高电机位置伺服系统鲁棒性能的最优模糊模型跟踪控制
Authors: Li, G
Cao, D
Xia, C
Tsang, KM 
Keywords: Fuzzy logic control
Model reference control
Robustness
Optimal control
Issue Date: 2003
Publisher: 中國學術期刊(光盤版)電子雜誌社
Source: 電工技術學報 (Transactions of China Electrotechnical Society), Feb. 2003, v. 18, no. 1, p. 43-60, 20 How to cite?
Journal: 電工技術學報 (Transactions of China Electrotechnical Society) 
Abstract: 提出一种应用在位置伺服系统上的最优模糊模型跟踪控制方案 ,并且将其与最优模糊控制进行了比较。研究结果表明 ,该方案即使在大的参数变化与负载扰动情况下 ,仍能保持系统输出最优或近似最优 ,具有很好的鲁棒性
In order to improve the robustness of Optimal Fuzzy Control(OFC),this paper presents an Optimal Fuzzy Model Following Control(OFMFC)scheme for position servo systems The proposed scheme is based on OFC and a novel model following control architecture A Genetic Algorithm is employed to optimize fuzzy controller parameters Numerical results illustrate that the proposed control can retain optimal system performance even in the presence of significant parameter variations The comparison between OFMFC and OFC shows that OFMFC is much more robust than pure OFC scheme
URI: http://hdl.handle.net/10397/60318
ISSN: 1000-6753
Rights: © 2003 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。
© 2003 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research purposes.
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