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The drawbacks of sliding mode control in terms of high control gains and chattering are overcome by merging of the FLC with the variable structure of the SMC to form a fuzzy sliding mode controller (FSMC). However, the major drawback of fuzzy control is the lack of design techniques. Hence this hybrid system increases the complexity in design and, at present, there exists no effective design tools due to the lack of analytical and numerical approaches. This paper develops an automated design approach to this design problem, using a genetic algorithm. The method is illustrated through the design of a near-optimal fuzzy sliding mode controller for induction motor speed control.  The control strategy gives a relatively low overshoots with smooth control action and retains robustness of the sliding mode approach.

Design of a Fuzzy Sliding Mode Controller by Genetic Algorithms for Induction Machine Speed Control