Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1994.07a
- /
- Pages.331-333
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- 1994
A Study on the Learning Method for Induction Motor Trajectory using a Neuro-Fuzzy Networks
뉴로-퍼지 네트워크에 의한 유도전동기 궤적의 학습에 관한 연구
- Yang, Seung-Ho (Dept. of Computer Eng., Jungkyong Tech. Junior College) ;
- Kim, Sei-Chan (Dept. of Electrical Eng., Sungkyunkwan Univ.) ;
- Kim, Duk-Hun (Dept. of Electrical Eng., Sungkyunkwan Univ.) ;
-
Yoo, Dong-Wook
(Korea Electrotechnology Research Institute)
;
-
Won, Chung-Yuen
(Dept. of Electrical Eng., Sungkyunkwan Univ.)
- 양승호 (중경공업전문대학 전자계산기과) ;
- 김세찬 (성균관대학교 전기공학과) ;
- 김덕헌 (성균관대학교 전기공학과) ;
-
유동욱
(한국전기연구소)
;
-
원충연
(성균관대학교 전기공학과)
- Published : 1994.07.21
Abstract
A learning method for induction motor trajectory using neuro-fuzzy networks (NFN) based on fusion of fuzzy logic theory and neural networks is proposed. The premise and consequent parameters of the NFN affecting the controllers performances are modified during the learning stages by the proposed learning method to implement an optimal controller only with pre-determined target trajectory and the least amount of knowledge about an induction motor. The induction motor position control system is simulated to verify the effectiveness of the learned NF controller(NFC). The simulation results shows that the proposed learning method has good dynamic performance and small steady state error.
Keywords