Design of Adaptive Fuzzy Sliding Mode for Nonlinear System Control
نویسندگان
چکیده
An adaptive fuzzy sliding mode controller (AFSMC) is proposed in this paper. 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 an userdefined 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, reducing the expertise dependency in the design procedure of fuzzy logic control, we call it rule tolerance property. By applying the AFSMC to control a nonlinear unstable inverted pendulum system, the simulation results show the expected approximation sliding property was occurred, and the dynamic behavior of control system can be determined by the sliding surface.
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