volume | PIER Journals

Abstract

This paper proposes a novel asymmetric interior stator topology for torque enhancement and torque ripple reduction in external rotor switched reluctance motor (ERSRM). The new topology and operational principle are first investigated using a simplified linear model. Then, the parametric model of the ERSRM and the comprehensive sensitive analysis that evaluates the influence of each design variable on optimization objectives are presented. Thirdly, the optimal design is selected from the Pareto front which is generated by NSGA-II (fast non-dominated sorting genetic algorithm) and validated by finite element analysis. Finally, the optimal prototype motor is manufactured, and experimental results confirm the validity and superiority of the optimized design.

1. Howey, B., B. Bilgin, and A. Emadi, "Design of an external-rotor direct drive E-bike switched reluctance motor," IEEE Transactions on Vehicular Technology, Vol. 69, No. 3, 2552-2562, 2020.
doi:10.1109/TVT.2020.2965943

2. Ahn, J. W. and G. F. Lukman, "Switched reluctance motor: Research trends and overview," CES Transactions on Electrical Machines and Systems, Vol. 2, No. 4, 339-347, 2018.
doi:10.30941/CESTEMS.2018.00043

3. Anvari, B., H. Toliyat, and B. Fahimi, "Simultaneous optimization of geometry and firing angles for in-wheel switched reluctance motor drive," IEEE Transactions on Transportation Electrification, Vol. 4, No. 1, 322-329, 2018.
doi:10.1109/TTE.2017.2766452

4. Zhu, J. W. K., W. E. Cheng, and X. D. Xue, "Torque analysis for in-wheel switched reluctance motors with varied number of rotor poles," International Symposium on Electrical Engineering (ISEE), Hong Kong, China, Dec. 20, 2016.

5. Arifin, A., I. Al-Bahadly, and S. Mukhopadhyay, "Performance analysis of a 12/8 and 12/16 switched reluctance machine in low and medium speed operations for wind energy applications," 2012 IEEE International Conference on Power And Energy (PECON), 916-921, 2012.
doi:10.1109/PECon.2012.6450348

6. Balaji, M., S. Ramkumar, and V. Kamaraj, "Sensitivity analysis of geometrical parameters of a switched reluctance motor with modified pole shapes," Journal of Electrical Engineering and Technology, Vol. 9, No. 1, 136-142, 2014.
doi:10.5370/JEET.2014.9.1.136

7. Mehta, S., M. A. Kabir, P. Pramod, et al. "Segmented rotor mutually coupled switched reluctance machine for low torque ripple applications," IEEE Transactions on Industry Applications, Vol. 57, No. 4, 3582-3594, 2021.
doi:10.1109/TIA.2021.3073384

8. Lee, C., J. Lee, and I. G. Jang, "Shape optimization-based design investigation of the switched reluctance motors regarding the target torque and current limitation," Structural and Multidisciplinary Optimization, Vol. 64, No. 2, 859-870, 2021.
doi:10.1007/s00158-021-02897-0

9. Mariappan, G. and K. Lakshmanan, "An enhanced control method for torque ripple minimization of switched reluctance motor using hybrid technique," Journal of Intelligent & Fuzzy Systems, 1-24, 2022.

10. Fatih, K., T. Ismail, M. Hayati, et al. "Reduction of torque ripple in induction motor by artificial neural multinetworks," Turkish Journal of Electrical Engineering and Computer Science, Vol. 24, No. 5, 3492-3502, 2016.

11. Pan, Z. B. and S. H. Fang, "Combined random forest and NSGA-II for optimal design of permanent magnet arc motor," IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 10, No. 2, 1800-1812, 2022.
doi:10.1109/JESTPE.2021.3049242

12. Hua, Y. Z., H. Q. Zhu, M. Gao, Z. Ji, et al. "Multi-objective optimization design of permanent magnet assisted bearingless synchronous reluctance motor using NSGA-II," IEEE Transactions on Industrial Electronics, Vol. 68, No. 11, 10477-10487, 2020.
doi:10.1109/TIE.2020.3037873

13. Mohamed, E., A. Mohamed, R. Hegazy, and N. I. Mohamed, "Finite element based overall optimization of switched reluctance motor using multi-objective genetic algorithm (Nsga-II)," Mathematics, Vol. 9, No. 5, 1-20, 2021.

14. Ma, H. Z., C. Z. Huang, X. P. Liu, et al. "The effect of a single-sided pole shoe and slot on reducing torque ripple in a switched reluctance motor," Concurrency Computation, Vol. 32, No. 19, e5810, 2020.
doi:10.1002/cpe.5810

15. Wang, X., L. Yuan, H. Chen, et al. "Sensitivity analysis on novel U-shape dual-stator switched reluctance motor," IEEE Transactions on Applied Superconductivity, Vol. 31, No. 8, 1-5, 2021.

16. Nagarajan, V. S., B. Mahadevan, et al. "Design optimization of ferrite assisted synchronous reluctance motor using multi-objective differential evolution algorithm," COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 36, No. 1, 219-239, 2017.
doi:10.1108/COMPEL-06-2016-0253

17. Deb, K., A. Pratap, S. Agarwal, and T. Meyarivan, "A fast and elitist multiobjective genetic algorithm: NSGA-II," IEEE Transactions on Evolutionary Computation, Vol. 6, No. 2, 182-197, 2002.
doi:10.1109/4235.996017

18. Huang, C. Z., H. W. Yuan, Y. L. Wu, et al. "A preference multi-objective optimization method for asymmetric external rotor switched reluctance motor," Progress In Electromagnetics Research C, Vol. 124, 179-196, 2022.
doi:10.2528/PIERC22062402

Dr. Chaozhi Huang

Dr. Hongwei Yuan

Dr. Wensheng Cao

Dr. Yuliang Wu