Design Optimization of the Multi-layer Switched Reluctance Motor to Minimize Torque Ripple and Maximize Average Torque

Document Type : Research Article


1 Faculty of Electrical and Computer Engineering, University of Kashan, Kashan, Iran

2 Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran


Because of the high torque ripple of the switched reluctance motor (SRM), a novel design optimization method is introduced in the present paper for the multi-layer switched reluctance motor. Using this design optimization method, torque ripple is reduced significantly, and average torque is increased as well. In the proposed method, the significant reduction of torque ripple is derived from variation of both the motor geometric structure and the design/control parameters. The most important design parameters of the SRM that have a significant effect on the torque ripple and average torque of the motor are stator/rotor pole arcs. The optimal values of these parameters are determined here using the design of experiments (DOE) algorithm. Having the instantaneous torque waveform of the motor is necessary for the accurate calculation of torque ripple. In the present paper, this waveform is predicted using an analysis of the motor based on finite element method (FEM). Applying the introduced design optimization method to a typical 8/6 multi-layer SRM, simulation results are presented and the effectiveness of the proposed design optimization method is demonstrated. Since the produced average torque of the multi-layer SRM is higher than the conventional type of SRM (one-layer), the proposed design optimization procedure could be utilized appropriately for the construction of a high-power SRM with minimum torque ripple.  


Main Subjects

  1. J. E. Miller, “Switched reluctance motor and their control,” Oxford U. K. Clarendon, 1993.
  2. Krishnan, “Switched reluctance motor drives modeling, simulation, analysis, design and applications,” CRC Press, FL, USA, 2001.
  3. Hu and et al., “Winding-centre-tapped switched reluctance motor drive for multi-source charging in electric vehicle applications,” IET Power Electron., vol. 8, no. 11, pp. 2067-75, 2015.
  4. D. Xue and et al., “Switched reluctance generators with hybrid magnetic paths for wind power generation,” IEEE Trans. Magn., vol. 48, no. 11, pp. 3863-66, 2012.
  5. Todd and et al., “Behavioural modelling of a switched reluctance motor drive for aircraft power systems,” IET Electr. Syst. Transp., vol. 4, no. 4, pp. 107-113, 2014.
  6. Choi, S. Byun and Y. Cho, “A study on the maximum power control method of switched reluctance generator for wind turbine,” IEEE Trans. Magn., vol. 50, no. 1, pp. 1-4, 2014.
  7. P. Hong, K. H. Ha, and J. Lee, “Stator pole and yoke design for vibration reduction of switched reluctance motor,” IEEE Trans. Magn., vol. 38, no. 2, pp. 929-932, 2002.
  8. Li, X. Song, and Y. Cho, “Comparison of 12/8 and 6/4 switched reluctance motor: noise and vibration aspects,” IEEE Trans. Magn., vol. 44, no. 11, pp. 4131-34, 2008.
  9. O. Fiedler, K. Kasper, R. W. DeDoncker, “Calculation of the acoustic noise spectrum of SRM using modal superposition,” IEEE Trans. Ind. Electron., vol. 57, no. 9, pp. 2939-2949, 2010.
  10. M. Castano, B. Bilgin, E. Fairall, and A. Emadi, “Acoustic noise analysis of a high-speed high-power switched reluctance machine: frame effects,” IEEE Trans. Energy Convers., vol. 31, no. 1, pp. 69 –77, 2016.
  11. K. Sheth and K. R. Rajagopal, “Optimum pole arcs for a switched reluctance motor for higher torque with reduced ripple,” IEEE Trans. Magn., vol. 39, no. 5, pp. 3214-16, 2003.
  12. Mirzaeian, M. Moallem, V. Tahani and C. Lucas, “Multiobjective optimization method based on a genetic algorithm for switched reluctance motor design,” IEEE Trans. Magn., vol. 39, no. 5, pp. 3334-36, 2003.
  13. Wu, J. B. Dunlop, S. J. Collocott and B. A. Kalan, “Design optimization of a switched reluctance motor by electromagnetic and thermal finite-element analysis,” IEEE Trans. Magn., vol. 39, no. 5, pp. 3334-36, 2003.
  14. M. Omekanda, Y. Kano, T. Kosaka and N. Matsui, “Robust torque and torque-per-inertia optimization of a switched reluctance motor using the Taguchi methods,” IEEE Trans. Ind. Appl., vol. 42, no. 2, pp. 473-78, 2006.
  15. Daldaban and N. Ustkoyuncu, “Multi-layer switched reluctance motor to reduce torque ripple,” Energ. Convers. Manage., vol. 49, pp. 974-79, 2008.
  16. Kano, T. Kosaka and N. Matsui, “Optimum design approach for a two-phase switched reluctance compressor drive,” IEEE Trans. Ind. Appl., vol. 46, no. 3, pp. 955-64, 2010.
  17. D. Xue, K. W. E. Cheng, T. W. Ng and N. C. Cheung, “Multi-objective optimization design of in-wheel switched reluctance motors in electric vehicles,” IEEE Trans. Ind. Electron., vol. 57, no. 9, pp. 2980-87, 2010.
  18. H. Lee, T. H. Pham and J. W. Ahn, “Design and operation characteristics of four-two pole high-speed SRM for torque ripple reduction,” IEEE Trans. Ind. Electron., vol. 60, no. 9, pp. 3637-43, 2013.
  19. Ishikawa, Y. Hashimoto and N. Kurita, “Optimum design of a switched reluctance motor fed by asymmetric bridge converter using experimental design method,” IEEE Trans. Magn., vol. 50, no. 2, Article number: 7019304, 2014.
  20. Ma and L. Qu, “Multiobjective optimization of switched reluctance motors based on design of experiments and particle swarm optimization,” IEEE Trans. Energy Convers., vol. 30, no. 3, pp. 1144-53, 2015.
  21. Cheng, H. Chen and Z. Yang, “Design indicators and structure optimisation of switched reluctance machine for electric vehicles,” IET Electr. Power App., vol. 9, no. 4, pp. 319-31, 2015.
  22. Anvari, H. A. Toliyat and B. Fahimi, “Simultaneous optimization of geometry and firing angles for In-wheel switched reluctance motor drive,” IEEE Trans. Transport. Electrific., vol. 4, no. 1, pp. 322-29, 2018.
  23. Vahedi, B. Ganji, and E. Afjei, “Multi-layer switched reluctance motors: performance prediction and torque ripple reduction,” Int. Trans. Electr. Energ. Syst., vol. 30, no. 2, Article number: e12215, 2020.
  24. Y. Fowlkes and C.M. Creveling “Engineering methods for robust product design,” Prentice Hall, 1995.
  25. Faiz, B. Ganji, C. E. Carstensen, and R. W. De Doncker, “Loss prediction in switched reluctance motors using finite element method,” Int. Trans. Electr. Energ. Syst., vol. 19, pp. 731-48, 2009.