Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
권호 표지

Minimization of Losses in Permanent Magnet Synchronous Motors Using Neural Network

  • Eskander, Mona N. (Power Electronics and Energy Conversion Dept., Electronics Research Institute)
  • Published : 2002.07.01
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, maximum efficiency operation of two types of permanent magnet synchronous motor drives, namely; surface type permanent magnet synchronous machine (SPMSM) and interior type permanent magnet synchronous motor(IPMSM), are investigated. The efficiency of both drives is maximized by minimizing copper and iron losses. Loss minimization is implemented using flux weakening. A neural network controller (NNC) is designed for each drive, to achieve loss minimization at difffrent speeds and load torque values. Data for training the NNC are obtained through off-line simulations of SPMSM and IPMSM at difffrent operating conditions. Accuracy and fast response of each NNC is proved by applying sudden changes in speed and load and tracking the UC output. The drives'efHciency obtained by flux weakening is compared with the efficiency obtained when setting the d-axis current component to zero, while varying the angle of advance "$\vartheta$" of the PWM inverter supplying the PMSM drive. Equal efficiencies are obtained at diffErent values of $\vartheta$, derived to be function of speed and load torque. A NN is also designed, and trained to vary $\vartheta$ following the derived control law. The accuracy and fast response of the NN controller is also proved.so proved.

Keywords

References

  1. J.e. Andreas, 'Energy Efficient Electric Motors', New york, Marcel Dekker, 1992
  2. S. Morimoto, Y. Tong, Y. Takeda, and T. Hirasa, 'Loss Minimization Control of Permanent Magnet Synchronous Motor Drives', IEEE Trans. on IE, vol.41, pp. 511-517, October 1994
  3. Y. Nakamura, T. Kudo, F. Ishibashi, and S. Hibino, 'High Efficiency Drive Due to Power Factor Control of a Permanent Magnet Synchronous Motor', IEEE Trans. On PE, vol. 10, pp. 247-253, March 1995
  4. C. Chan, R. Zhang, K. Chau, and 1. Jiang, 'Optimal Efficiency Control of PM Hybrid Motor Drives for Electrical Vehicles', Proc. IEEE PESC'97, vol, 1, pp. 363 ~368, June 1997
  5. C. Mademlis, J. Xypteras, and N.Margaris, ''ossMinimization in Surface Permanent Magnet Synchronous Motor Drives", IEEE Trans. on IE, vol. 47, pp. 115~122,February 2000
  6. P. Krause, R. Nucera, R. Krefta, and O. Wasynczuk, 'Analysis of a Pennanent Magnet Synchronous Machine Supplied from 1800 Inverter with Phase Control', IEEE Trans. on Energy Conversion, vol. 2, No.3, pp. 423~430, September 1987
  7. R. Spee and A. Wallace, 'Performance Characteristics of Brushless DC Drives', IEEE Tans. On Industry Applications, vol. 24, pp. 568~573, July/August 1988
  8. FJ. Lin, R.J. Wai, and H.P. Chen, 'A PM Synchronous Servo Motor Drive with an On-Line Trained Fuzzy Neural Network Controller', IEEE Trans. on E.C., vol. 13, No.4, pp. 319~325, December 1998
  9. S. Pillutla, A. Keyhani, and I. Kamwa, 'Neural Network Observers for On-Line Tracking of Synchronous Generator Parameters', IEEE Trans. on E.C, vol. 14, No.1 pp. 23~30, March 1999
  10. A. Rubaai, R. Kotaru, and M. David, 'A Continually Online-Trained Neural Network Controller for Brushless DC Motor Drives', IEEE Tranc. On LA., Vol. 36, No.2, pp. 475~483, March/April 2000
  11. B.K. Bose, 'Power Electronics and Variable Frequency Drives', lEE Inc., New York, 1997
  12. J. Hertz, A. Krogh, and R.G. Palmer, 'Introduc-tion to the Theory of Neural Computation', Addison Wesley ublishing Company, New York, 1993