Volume -I , Issue -III, February 2014

MODELING AND DETERMINATION OF OPTIMALS WITCHING ANGLES FOR SWITCHED RELUCTANCE MOTOR DRIVESv

Author(s) :

Karthik. V and V. V. Narsimha Murthy

Abstract

We present a lookup table based model for switched reluctance motors (SRMs). The model uses four coefficients, which are rotor position dependent and calculated from the flux-current-angle data using curve fitting. The four coefficients are further represented with sixth degree polynomials, which can be calculated effectively with Qin Jiushao's method. Simulated results show that the magnetic characteristics calculated with our model agree well with the original flux-current angle data. Also a method is proposed to produce optimal switching angles, based on a non-linear inductance model of low inductance region for switched reluctance motor (SRM). The optimal turn-on angle is derived from the non-linear model and electrical equation of SRM while optimal turn-off angle is derived from the turn-on angle. The proposed method has more accuracy than the conventional analytical method and improves the efficiency of the drive. Simulation results demonstrate the validity and effectiveness of the proposed method.

Keywords

Modeling and determination, Motor Drives, switched reluctance motors

References
  1. Fahimi, B., Suresh, G., Johnson, J.P ., Ehsani, M., Arefeen, M., Panahi, I.: Self-tuning control of switched reluctance motors for optimized torque per ampere at all operating points. Proc. IEEE APEC98, 1998, pp. 778–783
  2. Beno, M.M., Marimuthu, N.S., Singh, N.A.: Improving power factor in switched reluctance motor drive system by optimising the switching angles. TENCON 2008-2008 IEEE Region 10 Conf., pp. 1–5
  3. Kjaer, P .C., Nielsen, P ., Andersen, L., Blaabjerg, F .: A new energy optimizing control strategy for switched reluctance motors, IEEE Trans. Ind. Appl., 1995, 31, (5), pp. 1088–1095
  4. Sozer, Y ., T orrey , D.A.: Optimal turn-off angle control in the face ofautomatic turn-on angle control for switched-reluctance motors, IET Electr. Power Appl., 2007, 1, (3), pp. 395–401
  5. 14 Fatemi, S.A., Cheshmehbeigi, H.M., Afjei, E.: Self-tuning approach to optimization of excitation angles for switched-reluctance motordrives. European Conf. on Circuit Theory and Design, 2009, pp. 851–856
  6. S. A. Hossain and I. Husain, “A geometry based simplified analytical model of switched reluctance machines for real-time controller implementation,” IEEE Trans. Power Electron., vol. 18, no. 6, pp. 1384–1389, Nov. 2003<<
  7. Z. Y . Lin, D. S. Reay , B.W .W illiams, and X. N. He, “Online modelling for switched reluctance motors using B-spline neural networks,” IEEE Trans. Ind. Electron., vol. 54, no. 6, pp. 3317–3322, Dec. 2007
  8. A. Radun, “Analytically computing the flux linked by a switched reluctance motor phase when the stator and rotor poles overlap,” IEEE Trans. Magn., vol. 36, no. 4, pp. 1996–2003, Jul. 2000
  9. Sozer, Y ., T orrey , D.A., Mese, E.: Automatic control of excitation parameters for switched-reluctance motor drives, IEEE Trans. Power Electron., 2003, 18, (2), pp. 594–603
  10. Mademlis, C., Kioskeridis, I.: Performance optimization in switched reluctance motor drives with online commutation angle control, IEEE Trans. Energy Convers., 2003, 18, (3), pp. 448–457
  11. Y .Z.xu, R.Zhong, L.Chen, S.L.Lu Analytical method to optimise turn-on angle and turn-off angle for switched reluctance motor dives
  12. Chen, H.J., Jiang, D.Q., Y ang, J., Shi, L.X.: A new analytical model for switched reluctance motors, IEEE Trans. Magn., 2009, 45, (8), pp. 3107–3113
  13. T orrey , D.A., Lang, J.H.: Optimal-efficiency excitation of variablereluctance motor drives, Electr . Power Appl., IEE Proc. B, 1991, 138, (1), pp. 1–14
  14. A. Radun, “Analytical calculation of the switched reluctance motors unaligned inductance,” IEEE Trans. Magn., vol. 35, no. 6, pp. 4473–4481, Nov. 1999
  15. Kim, J., Krishnan, R.: High efficiency single-pulse controlled switched reluctance motor drive for high speed (48k RPM) application: analysis, design, and experimental verification. IEEE Industry Applications Society Annual Meeting, 2008
  16. A. D. Cheok and Z.W ang, “Fuzzy logic rotor position estimation based switched reluctance motor DSP drive with accuracy enhancement,”IEEE Trans. Power Electron., vol. 20, no. 4, pp. 908–921, Jul. 2005
  17. W . Lu, A. Keyhani, and A. Fardoun, “Neural network-based modelling and parameter identification of switched reluctance motors,” IEEE Trans. Energy Convers., vol. 18, no. 2, pp. 284–290, Jun. 2003.
How to Cite this Paper? [APA Style]
Karthik. V and V. V. Narsimha Murthy, (2014), MODELING AND DETERMINATION OF OPTIMALS WITCHING ANGLES FOR SWITCHED RELUCTANCE MOTOR DRIVESv, Industrial Science Journal, http://industrialscience.org/Article.aspx?aid=17&vid=3, (February, 2014)
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