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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/46137

    Title: Genetic-based sliding mode fuzzy controller design
    Authors: 翁慶昌;Wong, Ching-chang;Huang, Bing-chyi;Lai, Hung-ren
    Contributors: 淡江大學電機工程學系
    Keywords: Fuzzy Control;Sliding Mode Control;Genetic Algorithm
    Date: 2001-09-01
    Issue Date: 2010-03-26 21:02:47 (UTC+8)
    Publisher: 淡江大學
    Abstract: 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.
    Relation: 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
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

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