淡江大學機構典藏:Item 987654321/46137
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    題名: Genetic-based sliding mode fuzzy controller design
    作者: 翁慶昌;Wong, Ching-chang;Huang, Bing-chyi;Lai, Hung-ren
    貢獻者: 淡江大學電機工程學系
    關鍵詞: Fuzzy Control;Sliding Mode Control;Genetic Algorithm
    日期: 2001-09-01
    上傳時間: 2010-03-26 21:02:47 (UTC+8)
    出版者: 淡江大學
    摘要: In this paper, we proposed a genetic-based sliding mode fuzzy controller design method to avoid the chattering phenomena in traditional sliding mode controller (SMC), and shorten the hitting time of the controlled system. Chattering reduction is an important issue in the sliding mode controller that has been wildly discussed, and we know that a proper width Φ of the boundary layer of sliding surface can suppress chattering in sliding surface very well. In the other hand, the time that system state hits the sliding surface from initial state is also an important property that influences the performance of SMC. The time can also be shortened via a suitable determination of parameter K. In this paper, a genetic-based method is developed to obtain these two important parameters. An inverse pendulum system is utilized to perform the control effect of the designed sliding mode fuzzy controller.
    關聯: 淡江理工學刊=Tamkang journal of science and engineering 4(3), pp.165-172
    DOI: 10.6180/jase.2001.4.3.03
    顯示於類別:[電機工程學系暨研究所] 期刊論文

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