Load Variation Compensated Neural Network Speed Controller for Induction Motor Drives
- Title
- Load Variation Compensated Neural Network Speed Controller for Induction Motor Drives
- Author
- 김희준
- Keywords
- EKF; induction motor; neural network; load variation; self-tuning; on-line estimation
- Issue Date
- 2003-09
- Publisher
- 대한전기학회
- Citation
- KIEE International Transactions on Electrical Machinery and Energy Conversion Systems, v. 3-B, no. 2, page. 97-102
- Abstract
- In this paper, a recurrent artificial neural network (RNN) based self-tuning speed controller is proposed for the high-performance drives of induction motors. The RNN provides a nonlinear modeling of a motor drive system and could provide the controller with information regarding the load variation, system noise, and parameter variation of the induction motor through the on-line estimated weights of the corresponding RNN. Thus, the proposed self-tuning controller can change the gains of the controller according to system conditions. The gain is composed with the weights of the RNN. For the on-line estimation of the RNN weights, an extended Kalman filter (EKF) algorithm is used. A selftuning controller is designed that is adequate for the speed control of the induction motor. The availability of the proposed controller is verified through MATLAB simulations and is compared with the conventional PI controller.
- URI
- http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01314817?https://repository.hanyang.ac.kr/handle/20.500.11754/156250
- ISSN
- 1598-2602
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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