대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1997년도 하계학술대회 논문집 B
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- Pages.728-731
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- 1997
유전 알고리즘을 이용한 퍼지 제어기의 자동 동조
Auto-Tuning Method for fuzzy Controller Using Genetic Algorithms
- Rho, Gi-Gab (Dept. of Control & Instrumentation Eng., Kunsan Univ.) ;
- Joo, Young-Hoon (Dept. of Control & Instrumentation Eng., Kunsan Univ.) ;
- Park, Jin-Bae (Dept. of Electrical Eng., Yonsei Univ.)
- 발행 : 1997.07.21
초록
This paper proposes the systematic auto-tuning method for fuzzy controller using genetic algorithm(GA). In general, the design of fuzzy logic controller has difficulties in the acquisition of expert's knowledge and relies to a great extent on heuristic knowledge which, in many cases, cannot be objectively justified. So, the performance of the controller can be degraded in the case of plant parameter variations or unpredictable incident which the designer may have ignored. Proposed genetic algorithm searches the optimal rule structure, parameters of membership functions and scaling factors simultaneously and automatically by a new genetic coding format. Inverted pendrum system is provided to show the advantages of the proposed method.
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