DOI QR코드

DOI QR Code

Rotor Position and Speed Estimation of Interior Permanent Magnet Synchronous Motor using Unscented Kalman Filter

  • An, Lu (Institute of Electrical Machines, RWTH Aachen University) ;
  • Hameyer, Kay (Institute of Electrical Machines, RWTH Aachen University)
  • Received : 2014.10.11
  • Accepted : 2014.11.29
  • Published : 2014.12.01

Abstract

This paper proposes the rotor position and rotor speed estimation for an interior permanent magnet synchronous machines (IPMSM) using Unscented Kalman Filter (UKF) in alpha-beta coordinate system. Conventional algorithms using UKF are based on the simple observer model of IPMSM in d-q coordinate system. Rotor acceleration is neglected within the sampling step. An expansion of the observer model in an alpha-beta coordinate system with the consideration of the rotor speed variation provides the improved rotor position and speed estimation. The results show good stability concerning the expansion of observer model for the IPMSM.

References

  1. Vesely, L; Zamecnik, D., "Extending mathematical model of permanent magnet synchronous motors in alpha-beta coordinate system for EKF", Computational Intelligence and Informatics (CINTI), 2011 IEEE 12th International Symposium, pp 457-460, 21-22 Nov. 2011.
  2. Talla, J., Peroutka, Z."Neural network aided unscented Kalman filter for sensorless control of PMSM", Power Electronics and Applications (EPE 2011), Proceedings of the 2011-14th European Conference, pp 1-9, Aug. 30 2011-Sept. 1 2011.
  3. An, L.; Franck, D,; and Hameyer, K.; "Sensorless control for surface mounted permanent magnet synchronous machines at low speed", ICEMS 2013-International Conference on Electrical Machines and Systems, pages 77-82, 2013.
  4. Zdenek, Peroutka.; Vaclav, Smidl; David Vosmik, "Challenges and Limits of Extended Kalman Filter based Sensorless Control of Permanent Magnet Synchronous Machine Drives", 2009 Power Electronics and Applications, IEEE, pp 1-11, Sept. 2009.
  5. Thomas, Herold; Enno, Lange; Kay, Hameyer, "Field-circuit coupled system simulation of a PMSM serbo drive and comparison with measurements", Electrical Machines (ICEM), IEEE, pp 1-5, September 2010.
  6. Borsje, P.; Chan, T.F.; Wong, Y.K.; Ho, S.L., "A Comparative Study of Kalman Filtering for Sensorless Control of a Permanent-Magnet Synchronous Motor Drive", Electric Machines and Drives, IEEE, pp 815-822, May 2005.
  7. Tze-Fun Chan; Pieter, Borsje; Weimin, Wang, "Application of Unscented Kalman Filter to Sensorless Permanent-Magnet Synchronous Motor Drive", Electric Machines and Drives Conference, pp 631-638, May 2009.
  8. Dariusz, Janiszewski, "Load torque estimation in sensorless PMSM drive using Unscented Kalmana Filter", Industrial Electronics(ISIE), IEEE, pp 643-648, June 2011.
  9. Dariusz, Janiszewski, "Disturbance estimation for sensorless PMSM drive with Unscented Kalman Filter", Advanced Motion Control(AMC), IEEE, pp 1-7, March 2012.
  10. Cheol, Moon; Kee Hyun Nam; Mun Kyn Jung; Chang Ho Chae; Young Ahn Kwon, "Sensorless Speed Control of Permanent Magnet Synchronous Motor Using Unscented Kalman Filter", SICE Annual Conference(SICE), IEEE, pp 2018-2023, August 2012.
  11. Dariusz, Janiszewski, "Unscented Kalman Filter for sensorless PMSM drive with output filter fed by PWM converter", IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society, pp 4660-4665, October 2012.
  12. A.Titaouine; D.Taibi; O.Bennis; F.Benchabane; R.Boumaraf; K.Yahia, "Adaptive Nonlinear Control Combined With Unscented Kalman Filter for Permanent Magnet Synchronous Motor Fed by AC/DC/AC Converter", Electrical Machines and Power Electronics and 2011 Electromotion Joint Conference(ACEMP), IEEE, pp. 26-31, September 2011.
  13. Dariusz, Janiszewski, "Load torque estimation for sensorless PMSM drive with output filter fed by PWM converter", Industrial Electronics Society, IECON 2013-39th Annual Conference of the IEEE, pp. 2953-2959, November 2013.
  14. Shinji Ichikawa; Mutuwo Tomita; Shinji Doki; Shigeru Okuma, "Sensorless Control of Permanent-Magnet Synchronous Motors Using Online Parameter Identification Based on System Identification Theory", IEEE Transactions on Industrial Electronics, Vol. 53, Nr.2, pp. 363-372, April 2006.
  15. Julier, S.J. and Uhlmann, J.K., "Unscented filtering and nonlinear estimation", Proceedings of the IEEE, Volume:92, Issue: 3, pp 401-422, Mar. 2004. https://doi.org/10.1109/JPROC.2003.823141