제어로봇시스템학회:학술대회논문집
- 1996.10b
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- Pages.192-194
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- 1996
An optimal scaling gain tuning method for designing a fuzzy logic controller
퍼지로직제어기를 설계하기 위한 최적 비율 이득 조정방법
- Shin, Hyunseok (Dept. of Electronic Eng. Yonsei Univ.) ;
- Shim, Hansoo (Dept. of Electronic Eng. Yonsei Univ.) ;
- Kwon, Cheol (Dept. of Electronic Eng. Yonsei Univ.) ;
- Kang, Hyungjin (Dept. of Electronic Eng. Yonsei Univ.)
- Published : 1996.10.01
Abstract
This paper propose an optimal scaling gain tuning method of the fuzzy PI controller using Genetic Algorithm(GA). Scaling gains can reflect the control resolution and fuzziness of input/output variables. By the scaling gain method, the design of a fuzzy logic controller(FLC) can be simplified without affecting the system performance in comparison with multi-decision table method. In designing a fuzzy logic controller, the analytic approach method for the optimization is unavailable. Therefore GA is excellent optimization algorithms for scaling gain tuning. Using this optimal scaling gain tuning method, a good performance can be achieved both in transient and steady state.