Control of Commutation of SR Motor Using Its Magnetic Characteristics and Back-of-Core Saturation Effects

Authors: Dr. N.H. Mvungi

Abstract:

The control of commutation of switched reluctance (SR) motor has nominally depended on a physical position detector. The physical rotor position sensor limits robustness and increases size and inertia of the SR drive system. The paper describes a method to overcome these limitations by using magnetization characteristics of the motor to indicate rotor and stator teeth overlap status. The method is using active current probing pulses of same magnitude that is used to simulate flux linkage in the winding being probed. A microprocessor is used for processing magnetization data to deduce rotor-stator teeth overlap status and hence rotor position. However, the back-of-core saturation and mutual coupling introduces overlap detection errors, hence that of commutation control. This paper presents the concept of the detection scheme and the effects of backof core saturation.

Keywords: Microprocessor control, rotor position, sensorless, switched reluctance.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1059505

References:

[1] Mvungi NH, Lahoud MA and Stephenson JM, "A New Sensorless Position Detection Detector for SR Drives", Proceedings of the 4th International Conference on Electrical Machines and Drives, 1989, pp. 249-252.
[2] Mvungi NH, and Stephenson JM, "Accurate Sensorless Rotor Position Detection in an SR Motor", Proceedings European Power Electronics Conference, 1992, vol. 1, pp390-393.
[3] Ma, B., Liu, T., Chen, C., Shen, T., Feng, W. "Design And Implementation of a Sensorless Switched Reluctance Drive System", IEEE Transaction on Aerospace and Electronic Systems, 1998,vol. 34, No. 4, pp1193-1207.
[4] Ray WF, and Al-Bahadly IH, "Sensorless Method for Determining the Rotor Position of Switched Reluctance Motor Drive", Proceedings of the 29th Industrial Applications Conference, The 1994 IEEE, pp13-17.
[5] Panda D, and Ramanarayanan V, "Sensorless Control of Switched Reluctance Motor Drive with Self Measured Flux-Linkage Characteristics", Proceedings of the 31st Power Electronics Specialist Conference, 2000 IEEE vol 3, pp1569-1574.
[6] Bellini A, Filippetti F, Franceschini G, Tassoni C and Vas P, "Position Sensorless Control of a SRM Drive Using ANN-Techniques", Proceedings of the 33rd Industrial Applications Conference, The 1998 IEEE, vol. 1, pp709-714.
[7] Tahour A., Abid H., Aissaoui A.GG., "Adaptive Neuro-Fuzzy Controller of Switched Reluctance Motor", Serbian Journal of Electrical Engineering Vol. 4, No. 1, June 2007, pp23-34
[8] Young IW, Shin JW, and Kim YS, "The Rotor Speed and Position Sensorless Control of Switched Reluctance Motor Using the Adaptive Observer", Proceedings of the 34th Industrial Applications Conference, The 1999 IEEE, vol. 1, pp533-538.
[9] Cheok A., Ertugrul, N., "Model Free Fuzzy Logic Based Rotor Position Sensorless Switched Reluctance Motor Drive", Proceedings of the Industrial Applications Conference, Vol. 1, pp76-83, 6-10th October 1996, San Diego, CA, USA.
[10] Lumsdaine A and Lang JH, "State Observer for Variable Reluctance Motors", IEEE Transactions, 1990, vol IE-37 part 2, pp133-142.
[11] Thompson KR, Acarnely PP and French C, "Rotor Position Detection in a Switched Reluctance Drive Using Recursive Least Squares", IEEE Transactions on Industrial Electronics, vol. 47 part 2 April 2000, pp368- 379.
[12] Corda J., "Switched Reluctance Drive as a Variable Speed Drive", PhD Thesis, University of Leeds, 1979.