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http://dx.doi.org/10.5391/JKIIS.2004.14.6.752

Design of Adaptive Fuzzy Sliding Mode Controller for Chattering Reduction  

Seo, Sam-Jun (안양대학교 전기전자공학과)
Kim, Dong-Won (고려대학교 전기공학과)
Park, Gwi-Tae (고려대학교 전기공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.14, no.6, 2004 , pp. 752-758 More about this Journal
Abstract
In this paper, we proposed an adaptivefuzzy sliding control algorithm using gradient descent method to reduce chattering phenomenon which is viewed in variable control system. In design of FLC, fuzzy control rules are obtained from expert's experience and intuition and it is very difficult to obtain them. We proposed an adaptive algorithm which is updated by consequence part parameter of control rules in order to reduce chattering phenomenon and simultaneously to satistfy the sliding mode condition. The proposed algorithm has the characteristics which are viewed in conventional VSC, e.g. insensitivity to a class of disturbance, parameter variations and uncertainties in the sliding mode. To demonstrate its performance, the proposed control algorithm is applied to an inverted pendulum system. The results show that both alleviation of chattering and performance are achieved.
Keywords
sliding mode control; chattering reduction; fuzzy logic control; inverted pendulum;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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