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Adaptive FNN Controller for High Performance Control of Induction Motor Drive  

이정철 (순천대 공대 정보통신공학부)
이홍균 (순천대 공대 정보통신공학)
정동화 (순천대 공대 정보통신공학부)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers B / v.53, no.9, 2004 , pp. 569-575 More about this Journal
Abstract
This paper is proposed adaptive fuzzy-neural network(FNN) controller for high performance of induction motor drive. The design of this algorithm based on FNN controller that is implemented using fuzzy control and neural network. This controller uses fuzzy rule as training patterns of a neural network. Also, this controller uses the back-propagation method to adjust the weights between the neurons of neural network in order to minimize the error between the command output and actual output. A model reference adaptive scheme is proposed in which the adaptation mechanism is executed by fuzzy logic based on the error and change of error measured between the motor speed and output of a reference model. The control Performance of the adaptive FNN controller is evaluated by analysis for various operating conditions. The results of analysis prove that the proposed control system has strong high performance and robustness to parameter variation. and steady- state accuracy and transient response.
Keywords
Induction Motor Drive; Fuzzy Control; Neural Network; Adaptive FNN Controller; Estimation Performance;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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