제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 1995년도 Proceedings of the Korea Automation Control Conference, 10th (KACC); Seoul, Korea; 23-25 Oct. 1995
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- Pages.127-130
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- 1995
Look-up table based self organizing fuzzy control
- Choi, Han-Soo (Dept. of Control and Instrumentation Eng., Chosun Univ., Seoul Korea) ;
- Jeong, Heon (Dept. of Control and Instrumentation Eng., Chosun Univ., Seoul Korea) ;
- Kim, Young-Dong (Dept. of Control and Instrumentation Eng., Chosun Univ., Seoul Korea)
- 발행 : 1995.10.01
초록
Fuzzy controllers have proven to be powerful in controlling dynamic processes where mathematical models are unknown or intractable and ill-defined. The way of improving the performance of a fuzzy controller is based on making up rules, constructing membership functions, selecting a defuzzification method and adjusting input-output scaling factors. But there are many difficulties in tuning those to optimize a fuzzy controller. So, in this paper, we propose the look-up table based self-orgenizing fuzzy controller (LSOFC) which optimizes look-up values resulting from the above fuzzy processes. We use the plus-minus tuning method(PMTM), scanning the value through the processes of addition and subtraction. Simulation results demonstrate that the performance of LSOFC is far better than that of a non-tuning fuzzy controller.
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