Journal of the Korean Institute of Telematics and Electronics B (전자공학회논문지B)
- Volume 29B Issue 11
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- Pages.120-129
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- 1992
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- 1016-135X(pISSN)
Auto Generation of Fuzzy Control Rule using Neural-Fuzzy Fusion
뉴럴-퍼지 융합을 이용한 퍼지 제어 규칙의 자동생성에 관한 연구
- Lim, Kwang-Woo (Dept. of Elec. Eng., Chungang Univ.) ;
- Kim, Yong-Ho (Dept. of Elec. Eng., Chungang Univ.) ;
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Kang, Hoon
(Dept. of Control and Instrumentation Eng., Chungang Univ.)
;
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Jeon, Hong-Tae
(Dept. of Elec. Eng., Chungang Univ.)
- Published : 1992.11.01
Abstract
In this paper we propose a fuzzy-neural network(FNN) which includes both advantages of the fuzzy logic and the neural network. The basic idea of the FNN is to realize the fuzzy rule-base and the process of reasoning by neural network and to make the corresponding parameters be expressed by the connection weights of neural network. After constructing the FNN, a novel controller consisting of a conventional P-controller and a FNN is explained. In this control scheme, the rule-base of a FNN are automatically generated by error back-propagation algorithm. Also the parallel connection of the P-controller and the FNN can guarantee the stability of a plant at initial stage before the rules are completely created. Finally the effectiveness of the proposed strategy will be verified by computer simulations using a 2 degree of freedom robot manipulator.
Keywords