Commenced in January 2007
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Edition: International
Paper Count: 30063
Adaptation Learning Speed Control for a High- Performance Induction Motor using Neural Networks

Authors: M. Zerikat, S. Chekroun

Abstract:

This paper proposes an effective adaptation learning algorithm based on artificial neural networks for speed control of an induction motor assumed to operate in a high-performance drives environment. The structure scheme consists of a neural network controller and an algorithm for changing the NN weights in order that the motor speed can accurately track of the reference command. This paper also makes uses a very realistic and practical scheme to estimate and adaptively learn the noise content in the speed load torque characteristic of the motor. The availability of the proposed controller is verified by through a laboratory implementation and under computation simulations with Matlab-software. The process is also tested for the tracking property using different types of reference signals. The performance and robustness of the proposed control scheme have evaluated under a variety of operating conditions of the induction motor drives. The obtained results demonstrate the effectiveness of the proposed control scheme system performances, both in steady state error in speed and dynamic conditions, was found to be excellent and those is not overshoot.

Keywords: Electric drive, Induction motor, speed control, Adaptive control, neural network, High Performance.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1074493

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References:


[1] C.M.Liaw, Ys.Kung and C.M Wa, Design and implementation of a hight performance field-oriented induction motor drive. IEEE Trans. Ind. Electron. Vol 38,4, pp 275-282, 1991.
[2] Jie Zhang and T.H Burton, New approach to field orientation control of CSI induction motor drive. IEE Proccedings, Vol 135, No 1, January 1988.
[3] P.Pillay and R.Krishnam, Modelling of permanent magnet motor drive. IEEE Trans. Ind. Electronics. Vol 35. No 4, pp 537-541, 1988.
[4] Tien Chi Chen and Tsong Terng Shen, Model reference neural network controller for induction motor speed. IEEE Trans energy conversion. Vol 17 N0 2, pp 3301-3305, 2004.
[5] T.C Chen and T.T Sheu, Robust speed controlled induction motor drive based on model reference with neural networks. Inter. Journ of Knowledge based Intelligent Engineering System. Vol 3.3 pp 162- 171, 1992.
[6] K.S Narenda, Neural networks for control: Theory and practice. Proceedings of the IEEE, 84,10 pp 1385-1406, 1996.
[7] M.Kuchar, P.Brandstetter, M.Kaduch, Sensorless, Induction motor drive with neural network 35th conference pp 3301-3305, 2004.
[8] Y.A.Kwon and S.Hwankin, A new scheme for speed sensorless control of induction motor. IEEE Trans Ind Electronics, Vol 51 No3, pp 545- 550, 2004.
[9] W.S.Oh, K.M.Cho, S.Kun and H.J.Kim, Optimized neural network speed control of induction motor using genetic algorithm. IEEE International Symposwm on Power Electronic, Electrical drives, Automation and Motion, pp 12-15, SPEEDAM 2006.
[10] N.Bongkyong, L.Hjoon and P.Sanglong, A multiobjective evolutionary neuro-controller for non-minimum phases system. IEICE Trans INF & Syst Vol.E87 D, No11 pp 2517-2520, 2004.