A comparative study of Kalman filtering for sensorless control of a permanent-magnet synchronous motor drive

2005 IEEE International Conference on Electric Machines and Drives

Volumn , Issue , 2005, Pages 815-822

  Borsje, P ^a   Chan, T F ^a   Wong, Y K ^a   Ho, S L ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; ELECTRIC DRIVES; MATHEMATICAL MODELS; PERMANENT MAGNETS; ROTORS; SPEED CONTROL; SYNCHRONOUS MOTORS;

COVARIANCE MATRICES; EXTENDED KALMAN FILTER (EKF); TRIAL-AND-ERROR PROCESSES; UNSCENTED KALMAN FILTER (UKF);

KALMAN FILTERING;

EID: 33749054899     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iemdc.2005.195816     Document Type: Conference Paper

References (24)

1. S. Bolognani, M. Zigliotto and M. Zordan, "Extended-range PMSM sensorless speed drive based on stochastic filtering," IEEE Trans. Power Electronics, vol. 16, no. 1, Jan. 2001, pp. 110-117.
2. S. Bolognani, L. Tubiana, M. Zigliotto, "EKF-based sensorless IPM synchronous motor drive for flux-weakening applications," IEEE Trans. Industry Applications, vol. 39, no. 3, May-June 2003, pp. 768-775.
3. R. Dhaouadi, N. Mohan and L. Norum, "Design and implementation of an extended Kalman filter for the state estimation of a permanent magnet synchronous motor," IEEE Trans. Power Electronics, vol. 6, no. 3, July 1991, pp. 491-497.
4. A. Bado, S. Bolognani and M. Zigliotto, "Effective estimation of speed and rotor position of a PM synchronous motor drive by a Kalman filtering technique," in 23rd Annual IEEE Power Electronics Specialists Conference, 1992. PESC '92 Record, vol. 2, 29 June-3 July 1992, pp. 951-957.
5. Young-Real Kim, Seung-Ki Sul, and Min-Ho Park, "Speed sensorless vector control of induction motor using extended Kalman filter," IEEE Trans. Industry Applications, vol. 30, no. 5, Sept.-Oct. 1994, pp. 1225-1233.
6. Che-Ming Lee and Chem-Lin Chen, "Speed sensorless vector control of induction motor using Kalman-filter-assisted adaptive observer," IEEE Trans. Industrial Electronics, vol. 45, no. 2, April 1998, pp. 359-361.
7. S. Bolognani, R. Oboe and M. Zigliotto, "DSP-based extended Kalman filter estimation of speed and rotor position of a PM synchronous motor," in 20th International Conference on Industrial Electronics, Control and Instrumentation 1994, (IECON '94), vol. 3, 5-9 Sept. 1994, pp. 2097-2102.
8. S. Bolognani, R. Oboe, and M. Zigliotto, "Sensorless full-digital PMSM drive with EKF estimation of speed and rotor position," IEEE Trans. Industrial Electronics, vol. 46, no. 1, Feb. 1999, pp. 184-191.
9. K. L. Shi, T. F. Chan, Y. K. Wong and S. L. Ho, "Speed estimation of an induction motor drive using an optimized extended Kalman filter," IEEE Trans. Industrial Electronics, vol. 49, no. 1, Feb. 2002, pp. 124-133.
10. M. Cernat, V. Comnac, R.-M Cernat and M. Cotorogea, "Sensorless control of interior permanent magnet synchronous machine using a Kalman filter," in Proceedings of the 2000 IEEE International Symposium on Industrial Electronics, 2000 (ISIE 2000), vol. 2, 4-8 Dec. 2000, pp. 401-406.
11. S. Bolognani, L. Tubiana and M. Zigliotto, "Extended Kalman filter tuning in sensorless PMSM drives," IEEE Trans. Industry Applications, vol. 39, no. 6, Nov.-Dec. 2003, pp. 1741-1747.
12. E.A. Wan and R. van der Merwe, "The Unscented Kalman filter for nonlinear estimation," in Proceedings of the 2000 IEEE Symposium on Adaptive Systems for Signal Processing, Communication and Control (AS-SPCC), IEEE Press, 2000, pp. 153-158.
13. th International Symposium on Aerospace/Defense Sensing, Simulation and Controls, 1997.
14. Simon Haykin, Kalman Filtering and neural networks. Communications Research Laboratory, McMaster University, Hamilton, Ontario, Canada, John Wiley & Sons, Inc. New York, ISBN 0-471-36998-5.
15. S. J. Julier and H. F. Durrant-Whyte, "Navigation and parameter estimation of high speed road vehicles," in Robotics and Automation, Conference, pp. 101-105, 1995.
16. R. van der Merwe and E. A. Wan, "Efficient derivative-free Kalman filters for online learning," in European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, 2001.
17. B. Stenger, P. R. S. Mendonça and R. Cipolla, "Model-based hand tracking using an unscented Kalman filter," in Proceedings of the British Machine Vision Conference, September 2001, pp. 63-72.
18. B. Akin, U. Orguner and A. Ersak, "State estimation of induction motor using unscented Kalman filter," in Proceedings of 2003 IEEE Conference on Control Applications, 2003 (CCA 2003), vol. 2, 23-25 June 2003, pp. 915-919.
19. Paul Zarchan and Howard Mussoff, "Fundamentals of Kalman filtering: A practical approach," vol. 190, Progress in Astronautics and Aeronautics, American Institute of Aeronautics and Astronautics, Inc., ISBN 1-56347-455-7.
20. A. R. Munoz and T. A. Lipo, "On-line dead-time compensation technique for open-loop PWM-VSI drives," IEEE Trans. On Power Electronics, vol. 14, no. 4, July 1999, pp. 683-689.
21. Hyun-Soo Kim, Hyung-Tae Moon and Myung-Joong Youn, "On-line dead-time compensation method using disturbance observer," IEEE Trans. On Power Electronics, vol. 18, no. 6, Nov. 2003, pp. 1336-1345.
22. Hyun-Soo Kim, Kyeong-Hwa Kim and Myung-Joong Youn, "On-line dead-time compensation method based on time delay control," IEEE Trans. On Control Systems Technology, vol. 11, no. 2, March 2003, pp. 279-285.
23. Gene F. Franklin, J. David Powell and Michael Workman, Digital Control of dynamic systems. Addison Wesley Longman, Inc., 1998, ISBN 0-201-82054-44.
24. Frank L. Lewis, Applied Optimal Control & estimation: digital design & implementation. Prentice-Hall, Inc., 1992, ISBN 0-13-040361-x.