Initial Rotor Position Detection of a Toroidal SRM Using the Rate of Change of Current

전류변화율을 이용한 토로이달 SRM의 초기위치 경출 방법

  • Published : 2005.01.01

Abstract

Rotor position information is essential in the operation of the switched reluctance motor(SRM) drive for generation the phase current switching signals. When an incremental encoder is used as a rotor position sensor, the initial rotor position can not be detected. Some sensorless rotor position estimation methods also have the same problem. In these systems, to initially align the rotor, the forced alignment method has a delay and reverse rotation before the motor can start. Therefore it can not be acceptable for unidirectional drive systems. So the forced alignment method is not desirable in all drive systems and the research on the SRM drives should be directed to a system without rotor alignment. In this paper, a new detection method of initial rotor position using the rate of change of current is suggested. Firstly, di/dt versus θ/sub R/ reference table, which is the relation between the rate of change of current and rotor position, is generated and then the squared Euclidean distance method is used to estimate the rotor position based on the table. The simulated and experimental results are presented demonstrating the feasibility and accuracy of this method.

Keywords

References

  1. 안진우, '스위치드 릴릭턴스 전동기', 오성미디어 2001.1
  2. Lyons, J.P.; MacMinn, S.R.; Preston, M.A, 'Flux-current methods for SRM rotor position estimation', Conference Record of the 1991 IEEE Industry Applications Society Annual Meeting, Vol.1, pp. 482-487, Sept.-Oct. 1991 https://doi.org/10.1109/IAS.1991.178199
  3. C. Eyguesier, K .J. Tseng, F. Yan and S. Cao, 'A basic algorithm of sensorless rotor position detection using fuzzy logic for the switched reluctance motor drives', ISIE '99. Proceedings of the IEEE International Symposium on Industrial Electronics, Vol. 2, pp. 684-688, July 1999 https://doi.org/10.1109/ISIE.1999.798695
  4. Wang Zhongfang, A. D. Cheok and Wee Lim Khiang 'Sensorless rotor position estimation algorithm for switched reluctance motors using fuzzy logic' PESC. 2001 IEEE 32nd Annual Power Electronics Specialists Conference, Vol. 3, pp. 1701-1706, June 2001 https://doi.org/10.1109/PESC.2001.954364
  5. E. Mese and D. A. Torrey, 'An approach for sensorless position estimation for switched reluctance motors using artifical neural networks', IEEE Trans. on Power Electr., Vol. 17 Issue: 1, pp. 66-75, Jan. 2002 https://doi.org/10.1109/63.988671
  6. I.-W. Yang and Y.-S. Kim, 'Rotor speed and position sensorless control of a switched reluctance motor using the binary observer', IEE Proc.-Electr. Power Appl., Vol.147, No. 3, pp. 220-226, 2000 https://doi.org/10.1049/ip-epa:20000271
  7. Gabriel Gallegos-Lopez, Philip C.Kjaer, J.E.Miller, 'A New Sensorless Method for Switched Reluctance Motor Drives', IEEE Trans. on Industry Appl., Vol. 34, No. 4, pp. 832-840, 1998 https://doi.org/10.1109/28.703987
  8. W. F. Ray and I. H. Al-Bahadly, 'A sensorless method for determining rotor position for switched reluctance motors', Fifth International Conference on Power Electronics and Variable-Speed Drives, Vol. 6, pp. 7-13, Oct. 1994
  9. Kim Ki-Bong, 'Toroidal Switched Reluctance Motor part 1. fundamentals', Korea-Germany symposium 11, pp. 135-141, 1998