Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1997.11a
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- Pages.126-129
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- 1997
Design of Auto-Tuning Fuzzy Logic Controllers Using Hybrid Genetic Algorithms
하이브리드 유전 알고리듬을 이용한 자동 동조 퍼지 제어기의 설계
- Ryoo, Dong-Wan (Dept.of Electrical Eng. Kyungpook Nat. Univ.) ;
- Kwon, Jae-Cheol (Dept.of Electrical Eng. Kyungpook Nat. Univ.) ;
- Park, Seong-Wook (Dept.of Electrical Eng. Kumi Junior Col.) ;
- Seo, Bo-Hyeok (Dept.of Electrical Eng. Kyungpook Nat. Univ.)
- Published : 1997.11.29
Abstract
This paper propose a new hybrid genetic algorithm for auto-tunig auzzy controller improving the performance. In general, fuzzy controller used pre-determine d moderate membership functions, fuzzy rules, and scaling factors, by trial and error. The presented algorithm estimates automatically the optimal values of membership functions, fuzzy rules, and scaling factors for fuzzy controller, using hybrid genetic algorithms. The object of the proposed algorithm is to promote search efficiency by overcoming a premature convergence of genetic algorithms. Hybrid genetic algorithm is based on genetic algorithm and modified gradient method. Simulation results verify the validity of the presented method.
Keywords