유전 알고리듬을 이용한 퍼지 제어기의 설계 자동화 및 매개 변수 최적화

Optimization of Fuzzy Logic Controller Using Genetic Algorithm

This paper presents the automatic construction and parameter optimization technique for the fuzzy logic controller using genetic algorithm. In general the design of fuzzy controller has difficulties in the acquisition of expert's knowledge and relies to a great extent on empirical and heuristic knowledge which, in many cases, cannot be objectively justified. Therefor the performance of the controller can be degraded in the case of plant parameter variations or unpredictable incident which the designer may lave ignored. And fuzzy logic controller parameters elicited form the expert may not be global. Some of these problems can be resolved by application of genetic algorithm. Finally, we provides the second order dead time plant to evaluate the feasibility and generality of our proposed method. Comparison shows that the proposed method can produce a fuzzy logic controller with higher accuracy and a smaller number of fuzzy roles than manually billed fuzzy logic controller.