대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1999년도 하계학술대회 논문집 B
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- Pages.516-518
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- 1999
뉴럴 네트워크를 이용한 유도 전동기의 속도 제어
The Speed Control of an Induction Motor Based on Neural Networks
- 이동빈 (광운대학교 제어계측공학과) ;
- 유창완 (광운대학교 제어계측공학과) ;
- 홍대승 (광운대학교 제어계측공학과) ;
- 고재호 (광운대학교 제어계측공학과) ;
- 임화영 (광운대학교 제어계측공학과)
- Lee, Dong-Bin (Dept. of Control and Instrumentation Engineering KwangWoon Univ.) ;
- Ryu, Chang-Wan (Dept. of Control and Instrumentation Engineering KwangWoon Univ.) ;
- Hong, Dae-Seung (Dept. of Control and Instrumentation Engineering KwangWoon Univ.) ;
- Ko, Jae-Ho (Dept. of Control and Instrumentation Engineering KwangWoon Univ.) ;
- Yim, Wha-Yeong (Dept. of Control and Instrumentation Engineering KwangWoon Univ.)
- 발행 : 1999.07.19
초록
This paper presents an feed-forward neural network design instead PI controller for the speed control of an Induction Motor. The design employs the training strategy with Neural Network Controller(NNC) and Neural Network Emulator(NNE). Emulator identifies the motor by simulating the input and output map. In order to update the weights of the Controller. Emulator supplies the error path to the output stage of the controller using backpropagation algorithm. and then Controller produces an adequate output to the system due to neural networks learning capability. Therefore it becomes adjustable to the system with changing characteristics caused by a load. The speed control based on neural networks for induction motor is implemented by a vector controlled induction motor. The simulation results demonstrate that actual motor speed with neural network system well follows the reference speed minimizing the error and is available to implement on the vector control theory.
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