Department of Information and Library Science, Tamkang University Full-Time Faculty

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Seminar TitleDesign of adaptive fuzzy sliding mode for nonlinear system control

Year82

Semester2

Published date1994-06-01

Seminar NameDesign of adaptive fuzzy sliding mode for nonlinear system control

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All AuthorLin, Sinn-cheng; Chen, Yung-yaw

The Unit Of The Conference淡江大學資訊與圖書館學系

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SummaryAn adaptive fuzzy sliding mode controller (AFSMC) is proposed. The parameters of the membership functions in the fuzzy rule base are changed according to some adaptive algorithm for the purpose of controlling the system state to hit a user-defined sliding surface and then slide along it. The initial IF-THEN rules in the AFSMC can be randomly selected or roughly given by human experts, and then automatically tuned by a direct adaptive law. Therefore, the reduction of the expertise dependency in the design procedure of fuzzy logic control is called the rule tolerance property. By applying the AFSMC to control a nonlinear unstable inverted pendulum system, the simulation results showed the expected approximation sliding property, and the dynamic behavior of control system can be determined by the sliding surface.

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ProvenanceProceedings of the Third IEEE Conference on Fuzzy Systems, v. 1, pp.35 - 39

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