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http://dx.doi.org/10.5207/JIEIE.2006.20.3.053

Adaptive Fuzzy-Neuro Controller for High Performance of Induction Motor  

Chung, Dong-Hwa (순천대학교 공대 전기공학과)
Choi, Jung-Sik (순천대학교 대학원 전기공학과)
Ko, Jae-Sub (순천대학교 대학원 전기공학과)
Publication Information
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers / v.20, no.3, 2006 , pp. 53-61 More about this Journal
Abstract
This paper is proposed adaptive fuzzy-neuro controller for high performance of induction motor drive. The design of this algorithm based on fuzzy-neural network controller that is implemented using fuzzy control and neural network. This controller uses fuzzy nile 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 fuzzy-neuro controller is evaluated by analysis for various operating conditions. The results of experiment 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 Fuzzy-Neuro Controller; High Performance;
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