대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2003년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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- Pages.203-205
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- 2003
인공 신경회로망을 이용한 유도전동기 드라이브의 속도 동정
Identification of Speed of Induction Motor Drive using Artificial Neural Networks
- 이영실 (국립순천대학교 정보통신공학부) ;
- 이정철 (국립순천대학교 정보통신공학부) ;
- 이홍균 (국립순천대학교 정보통신공학부) ;
- 정택기 (국립순천대학교 정보통신공학부) ;
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정동화
(국립순천대학교 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.) ;
- Jung, Tack-Gi (School of Information & Communication Engineering, Sunchon National Univ.) ;
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Chung, Dong-Hwa
(School of Information & Communication Engineering, Sunchon National Univ.)
- 발행 : 2003.10.30
초록
This paper is proposed a newly developed approach to identify the mechanical speed of an induction motor based on artificial neural networks technique. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The error between the desired state variable and the actual one is back propagated to adjust the rotor speed, so that the actual state variable will coincide with the desired one. The back propagation mechanism is easy to derive and the estimated speed tracks precisely the actual motor speed. This paper is proposed the theoretical analysis as well as the simulation results to verify the effectiveness of the new method.
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