Speed Estimation and Control of IPMSM Drive with HAI Controller

HAI 제어기에 의한 IPMSM 드라이브의 속도 추정 및 제어

  • 이홍균 (순천대 공대 정보통신공학부) ;
  • 이정철 (순천대 공대 정보통신공학부) ;
  • 정동화 (순천대 공대 정보통신공학부)
  • Published : 2005.04.01

Abstract

This paper presents hybrid artificial intelligent(HAI) controller based on the vector controlled IPMSM drive system. And it is based on artificial technologies that adaptive neural network fuzzy(A-NNF) is to speed control and artificial neural network(ANN) is to speed estimation. The salient feature of this technique is the HAI controller The hybrid action tolerates any inaccuracies in the fuzzy logic assignment rules or in the neural network stationary weights. Speed estimators using feedforward multilayer and artificial neural network(ANN) are compared. The back-propagation algorithm is easy to derived the estimated speed tracks precisely the actual motor speed. This paper presents the theoretical analysis as well as the simulation results to verify the effectiveness of the new hybrid intelligent control.

Keywords

References

  1. C. Schauder, 'Adaptive speed identification for vector control of induction motors,' IEEE Trans. on IA, pp. 1054-1061, 1992 https://doi.org/10.1109/28.158829
  2. F. Z. Feng, T. Fukao, 'Robust speed identification for speed sensorless vector control of induction motors,' IEEE Trans. on IA, vol. 30, no. 5, pp. 1234-1240, 1994 https://doi.org/10.1109/28.315234
  3. H. Kubota and K. Matsuse, 'Speed sensorless field oriented control of induction motor with rotor resistance adaption,' IEEE Trans. on IA, vol. 30, no.5, pp. 1219-1224, 1994 https://doi.org/10.1109/28.315232
  4. K. J. Astron and B. Wittenmark, 'Adaptive control,' Addison-Wesley, 1989
  5. D. H. Chung, 'Fuzzy control for high performance vector control of PMSM drive system,' KIEE, vol. 47, no. 12, pp. 2171-2180, 1998
  6. K. S. Narendra and K. Parthasarthy, 'Identification and control of dynamical system using neural network,' IEEE Trans. Neural Networks, Vol. 1, No. 1, pp. 4-27, 1990 https://doi.org/10.1109/72.80202
  7. Cybenko, 'Approximations by superposition of a sigmoidal function,' Mathematics of Contr., Signals and Syst., vol. 2, pp. 303-314, 1989 https://doi.org/10.1007/BF02551274
  8. A. K. Toh, E. P. Nowicki and F. Ashrafzadeh, 'A flux estimator for field oriented control of an induction motor using an artificial neural network,' IEEE IAS Conf. Rec. Ann. Meet., Vol. 1, pp. 585-592, 1994 https://doi.org/10.1109/IAS.1994.345461
  9. M. G. Simoes and B. K. Bose, 'Neural network based estimation of feedback signals for a vector controlled induction motor drive,' IEEE Trans. IA, Vol. 31, No.3, pp. 620-629, 1995 https://doi.org/10.1109/28.382124
  10. M. T. Wishart and R. G. Harley, 'Identification and control of induction machines using neural networks,' IEEE Trans. IA, Vol. 31, No.3, pp. 612-619, 1995 https://doi.org/10.1109/28.382123
  11. I. J. Leontaritis and S. A. Billings, 'Input-output parametric models for nonlinear systems,' Int. J. Contr., vol. 41, pp. 303-344, 1985 https://doi.org/10.1080/0020718508961129