Speed and Flux Estimation for an Induction Motor Using a Parameter Estimation Technique

  • Lee Gil-Su (Department of Electrical Engineering, Korea University) ;
  • Lee Dong-Hyun (3rd SD Center, Agency for Defense Development) ;
  • Yoon Tae-Woong (Department of Electrical Engineering, Korea University) ;
  • Lee Kyo-Beum (Institute of Energy Technology, Aalborg University) ;
  • Song Joong-Ho (Department of Electrical Engineering, Seoul National University of Technology) ;
  • Choy Ick (Department of Information Control Engineering, KwangWoon University)
  • Published : 2005.03.01

Abstract

In this paper, an estimator scheme for the rotor speed and flux of an induction motor is proposed on the basis of a fourth-order electrical model. It is assumed that only the stator currents and voltages are measurable, and that the stator currents are bounded. There are a number of common terms in the motor dynamics, and this is utilized to find a simple error model involving some auxiliary variables. Using this error model, the state estimation problem is converted into a parameter estimation problem assuming that the rotor speed is constant. Some stability properties are given on the basis of Lyapunov analysis. In addition, the rotor resistance, which varies with the motor temperature, can also be estimated within the same framework. The effectiveness of the proposed scheme is demonstrated through computer simulations and experiments.

Keywords

References

  1. P. Vas, Sensorless Vector and Direct Torque Control, Oxford Univ. Press, 1998
  2. R. Kim, S. K. Sul, and M. H. Park, 'Speed sensorless vector control of induction motor using extended Kalman filter,' IEEE Trans. on Industrial Applications, vol. 30, no. 5, pp. 1225-1233, Sept./Oct. 1994 https://doi.org/10.1109/28.315233
  3. C. Schauder, 'Adaptive speed identification for vector control of induction motors without rotational transducers,' Proc. of Conf. Rec. IEEE-IAS Annu. Meeting, pp. 493-499, 1989
  4. H. Kubota, K. Matsuse, and T. Nakano, 'DSPbased speed adaptive flux observer of induction motor,' IEEE Trans. on Industrial Applications, vol. 29, no. 2, pp. 344-348, Mar./Apr. 1993 https://doi.org/10.1109/28.216542
  5. S. Sangwongwanich, S. Doki, T. Furu-hashi, and S. Okuma, 'Adaptive sliding mode observers for induction motor control,' Trans. Soc. Instrum. Contr. Eng., vol. 27, no. 5, pp. 569-576, May 1991 https://doi.org/10.9746/sicetr1965.27.569
  6. V. A. Bondarko and A. T. Zaremba, 'Speed and flux estimation for an induction motor without position sensor,' Proc. Amer. Contr. Conf., San Diego, Califonia, America, pp.3890-3894, 1999
  7. R. Marino, S. Peresada, and P. Valigi, 'Adaptive input-output linearizing control of induction motors,' IEEE Trans. on Automatic Control, vol. 38, no. 2, pp. 208-221, 1993 https://doi.org/10.1109/9.250510
  8. R. Marino, S. Peresada, and P. Tomei, 'Exponentilaly convergent rotor resistance estimation for induction motors,' IEEE Trans. on Industrial Electronics, vol. 42, no. 5, pp. 508-515, 1995 https://doi.org/10.1109/41.464614
  9. K. S. Narendra and A. M. Annaswamy, Stable Adaptive Systems, Prentice-Hall, 1989