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Scaling Factor Tuning of Fuzzy Controller Using Adaptive Evolutionary Computation and Fuzzy Logic

  • 발행 : 1998.07.20

초록

In this paper, we propose a scaling factor tuning method to improve the performance of fuzzy controller. Tuning rules and reasoning are utilized on-line to determine the scaling factors based on absolute value of the error and its difference. A adaptive evolutionary computation (AEC) is used to search for the optimal tuning rules that will maximize the fitness function. Finally, the proposed fuzzy controller is applied to the angular stabilization of an inverted pendulum.

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