Proceedings of the KIPE Conference (전력전자학회:학술대회논문집)
- 2007.07a
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- Pages.394-396
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- 2007
Neural network PI parameter Self-tuning Simulator for Permanent Magnet Synchronous Motor operation
영구자석 동기전동기 구동을 위한 신경회로망 PI 파라미터 자기 동조 시뮬레이터
- Bae, Eun-Kyeong (Myongji Univ.) ;
- Kwon, Jung-Dong (A'REX) ;
- Jeon, Kee-Young (SBC) ;
- Park, Choon-Woo (A-Cho) ;
- Oh, Bong-Hwan (Myongji College) ;
- Jeong, Choon-Byeong (KTE) ;
- Lee, Hoon-Goo (Yong-in Songdam College) ;
- Han, Kyung-Hee (Myongji Univ.)
- 배은경 (명지대학교) ;
- 권중동 (공항철도(주)) ;
- 전기영 (중소기업진흥공단) ;
- 박춘우 ((주)아코) ;
- 오봉환 (명지전문대) ;
- 정춘병 ((주)한국종합엔지니어링) ;
- 이훈구 (용인송담대학) ;
- 한경희 (명지대학교)
- Published : 2007.07.02
Abstract
In this paper proposed to neural network PI self-tuning direct controller using Error back propagation algorithm. Proposed controller applies to speed controller and current controller. Also, this built up the interface environment to drive it simply and exactly in any kind of reference, environment fluent and parameter transaction of PMSM. Neural network PI self-tuning simulator using Visual C++ and Matlab Simulation is organized to construct this environment, Built up interface has it's own purpose that even the user who don't have the accurate knowledge of Neural network can embody operation characteristic rapidly and easily.
Keywords