Performance Analysis of Switched Reluctance Motor Using Fuzzy Logic Controller
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This paper reduces the number of fuzzy sets of membership functions. A self-tuning fuzzy logic controller with modified rule base is used to reduce the membership functions. Conventionally, PI- like fuzzy controller and self-tuning fuzzy controller mechanism is used to reduce the fuzzy membership functions. In fuzzy logic controller scaling factors plays a major role. The output scaling factor is tuned by a gain updating factor, which is derived from fuzzy logic reasoning, by using plant error and change in error ratio as the input variables. By using selftuning fuzzy logic controller with modified rule base is reduce the complexity of the controller without losing system performance and stability.