Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1995.11a
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- Pages.293-295
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- 1995
The Robut Vector Control for I.M. using Fuzzy-Neural Network
퍼지-신경망을 이용한 강인한 유도전동기 벡터제어
- Jeon, Hee-Jong (Soong Sil University, Dept. of Electrical Engineering) ;
- Kim, Beung-Jin (Soong Sil University, Dept. of Electrical Engineering) ;
- Son, Jin-Geun (Soong Sil University, Dept. of Electrical Engineering) ;
- Moon, Hark-Yong (Soong Sil University, Dept. of Electrical Engineering) ;
- Kim, Soo-Gon (Soong Sil University, Dept. of Electrical Engineering)
- Published : 1995.11.18
Abstract
In this article a fuzzy controller and neural network adaptive observer is proposed and applied to the case of induction motor control. The proposed observer which comprises neural network flux observer and neural network torque observer is trained to learn the flux dynamics and torque dynamics and subjected to further on-line training by means of a backpropagation algorithm. Therefore it has been shown that the robust control of induction motor neglects the rotor time constant variations.
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