Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2006.10d
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- Pages.50-52
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- 2006
Rotor Resistance Estimation of Induction Motor by Artificial Neural-Network
인공신경회로망에 의한 유도전동기의 회전자 저항 추정
- Kim, Kil-Bong (School of Information & Communication Engineering. Sunchon National Univ.) ;
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Choi, Jung-Sik
(School of Information & Communication Engineering. Sunchon National Univ.) ;
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Ko, Jae-Sub
(School of Information & Communication Engineering. Sunchon National Univ.) ;
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Chugn, Dong-Hwa
(School of Information & Communication Engineering. Sunchon National Univ.)
- 김길봉 (순천대학교 공과대학 정보통신공학부) ;
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최정식
(순천대학교 공과대학 정보통신공학부) ;
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고재섭
(순천대학교 공과대학 정보통신공학부) ;
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정동화
(순천대학교 공과대학 정보통신공학부)
- Published : 2006.10.19
Abstract
This paper Proposes a new method of on-line estimation for rotor resistance of the induction motor in the indirect vector controlled drive, using artificial neural network (ANN). The back propagation algorithm is used for training of the neural networks. The error between the desired state variable of an induction motor and actual state variable of a neural network model is back propagated to adjust the weight of a neural network model, so that the actual state variable tracks the desired value. The performance of rotor resistance estimator and torque and flux responses of drive, together with these estimators, are investigated variations rotor resistance from their nominal values. The rotor resistance are estimated analytically, using the proposed ANN in a vector controlled induction motor drive.
Keywords