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

적응진화연산과 퍼지 로직을 이용한 퍼지 제어기의 이득요소 동조

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.