대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2002년도 하계학술대회 논문집 B
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- Pages.1137-1139
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- 2002
부하변동을 보상한 유도전동기 신경망 속도 제어기
Load variation Compensated Neural Network Speed Controller for Induction Motor Drives
- Oh, Won-Seok (Yuhan College EE) ;
- Cho, Kyu-Min (Yuhan College Information & Communication) ;
- Kim, Hee-Jun (Hanyang Univ. Elec & Computer Eng) ;
- Hyun, Sin-Tae (Yuhan College EE) ;
- Kim, Young-Tae (woniu College EE)
- 발행 : 2002.07.10
초록
In this paper, recurrent artificial neural network (RNN) based self tuning speed controller is proposed for the high performance drives of induction motor. RNN provides a nonlinear modeling of motor drive system and could give the information of the load variation, system noise and parameter variation of induction motor to the controller through the on-line estimated weights of corresponding RNN. Thus, proposed self tuning controller can change gains of the controller according to system conditions. The gain is composed with the weights of RNN. For the on-line estimation of the weights of RNN, extended kalman filter (EKF) algorithm is used. Self tuning controller that is adequate for the speed control of induction motor is designed. The availability of the proposed controller is verified through the MATLAB simulation with the comparison of conventional PI controller.
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