대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2004년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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- Pages.179-181
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- 2004
적응 FNN에 의한 유도전동기의 센서리스 제어
Sensorless Control of Induction Motor using Adaptive FNN Controller
- 이영실 (순천대학교 공과대학 정보통신공학부) ;
- 이정철 (순천대학교 공과대학 정보통신공학부) ;
- 이홍균 (순천대학교 공과대학 정보통신공학부) ;
- 남수명 (순천대학교 공과대학 정보통신공학부) ;
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정동화
(순천대학교 공과대학 정보통신공학부)
- Lee, Young-Sil (School of Information & Communication Engineering, Sunchon National Univ.) ;
- Lee, Jung-Chul (School of Information & Communication Engineering, Sunchon National Univ.) ;
- Lee, Hong-Gyun (School of Information & Communication Engineering, Sunchon National Univ.) ;
- Nam, Su-Myeong (School of Information & Communication Engineering, Sunchon National Univ.) ;
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Chung, Dong-Hwa
(School of Information & Communication Engineering, Sunchon National Univ.)
- 발행 : 2004.10.15
초록
This paper is proposed an adaptive fuzzy-neural network(A-FNN) controller based on the vector controlled induction motor drive system. The hybrid combination of fuzzy control and neural network will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed speed estimation of induction motor using A closed-loop state observer. The rotor position is calculated through the stator flux position and an estimated flux value of rotation reference frame. A closed-loop state observer is implemented to compute the speed feedback signal. The results of analysis prove that the proposed control system has strong robustness to rotor parameter variation, and has good steady-state accuracy and transitory response.
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