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Design of Adaptive FNN Controller for Speed Contort of IPMSM Drive  

이정철 (순천대학교 전기제어공학과)
이홍균 (순천대학교 전기제어공학)
정동화 (순천대학교 전기제어공학과)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.41, no.3, 2004 , pp. 39-46 More about this Journal
Abstract
This paper is proposed adaptive fuzzy-neural network(FNN) controller for the speed control of interior permanent magnet synchronous motor(IPMSM) drive. The design of this algorithm based on FNN controller that is implemented by 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 among 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 strongly high performance and robustness in parameter variation, steady-state accuracy and transient response.
Keywords
fuzzy control; neural network; adaptive FNN controller;
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  • Reference
1 R. Krishnan, R. Monajemy and N. Tripathi, 'Neural control of high performance drives: an application to the PM synchronous motor drive', IEEE IECON Conference, vol. 1, pp. 38-43, 1995   DOI
2 D. H. Chung, J. C. Lee and H. G. Lee, 'Adaptive fuzzy controller for high performance PMSM drive', KIEE Trans., vol. 51D, no. 12, pp. 535-541, 2002   과학기술학회마을
3 B. K. Bose, 'Power electronics and AC drives', Englewood Cliffs. Ed. Prentice Hall, 1986]
4 F. Mrad, Z. Gao and N. Dhayagyagude, 'Fuzzy logic control of automated screw fastening, IEEE IAS Ann. Meet., pp. 1673-1680, 1985   DOI
5 K. J. Astrom and B. Wittenmark, 'Adaptive control', Addison-Wesley, 1989
6 Q. Guo, R. Luo and L. Wang, 'Neural network adaptive observer based position and velocity sensorless control of PMSM', AMC '96-MIE. Proceedings., 1996 4th International Workshop, vol. 1, pp. 41-46, 1996   DOI