Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

Impact Factor

2.10

CiteScore

Electro-Mechanical Engineering

Qin Li1, Benqin Jing2This email address is being protected from spambots. You need JavaScript enabled to view it., Peiming Luo1, Xuexi Zhang1

1School of Automation, Guangdong University of Technology, Guangzhou, China

2School of Electronic Information and Automation, Guilin University of Aerospace Technology, Guilin, China

 

Received: May 5, 2023
Accepted: August 22, 2023
Publication Date: October 14, 2023

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202406_27(6).0004  


Switched Reluctance Motor (SRM) implement is constrained by high torque ripple. An effective torque ripple compensation method is proposed based on sliding mode current compensation (SMCC). According to the relationship between torque and current of the SRM, a current compensation with a sliding mode controller is designed. The input of the sliding mode controller is the difference between the reference torque and instant torque, and the compensation current is obtained as the output through the calculation of the sliding mode surface. The total current is the sum of linear conversion current and compensation current. The Lyapunov stability criterion proves the stability of the sliding mode compensation. In MATLAB simulation environment and low-speed operation of the motor, the effectiveness of the proposed method is proved. Compared with PD current compensation method, the efficiency of this method in current compensation is improved, and the torque ripple can be effectively reduced.


Keywords: SRM; Torque Ripple; PD Algorithm; Sliding mode control; Current profiling control


  1. [1] C. Gan, J. Wu, Q. Sun, W. Kong, H. Li, and Y. Hu, (2018) “A review on machine topologies and control techniques for low-noise switched reluctance motors in electric vehicle applications" IEEE Access 6: 31430–31443. DOI: 10.1109/ACCESS.2018.2837111.
  2. [2] E. Bostanci, M. Moallem, A. Parsapour, and B. Fahimi, (2017) “Opportunities and challenges of switched reluctance motor drives for electric propulsion: A comparative study" IEEE transactions on transportation electrification 3(1): 58–75. DOI: 10.1109/TTE.2017.2649883.
  3. [3] J.-W. Ahn and G. F. Lukman, (2018) “Switched reluctance motor: Research trends and overview" CES Transactions on Electrical Machines and Systems 2(4): 339–347.
  4. [4] D. Mohanraj, J. Gopalakrishnan, B. Chokkalingam, and L. Mihet-Popa, (2022) “Critical Aspects of Electric Motor Drive Controllers and Mitigation of Torque RippleReview" IEEE Access: DOI: 10.1109/ACCESS.2022. 3187515.
  5. [5] M. Deepak, G. Janaki, and C. Bharatiraja, (2022) “Power electronic converter topologies for switched reluctance motor towards torque ripple analysis" Materials Today: Proceedings 52: 1657–1665. DOI: 10.1016/j.matpr.2021.11.284.
  6. [6] G. Fang, F. P. Scalcon, D. Xiao, R. P. Vieira, H. A. Gründling, and A. Emadi, (2021) “Advanced control of switched reluctance motors (SRMs): A review on current regulation, torque control and vibration suppression" IEEE Open Journal of the Industrial Electronics Society 2: 280–301.
  7. [7] X. Xue, K. W. E. Cheng, and S. L. Ho, (2009) “Optimization and evaluation of torque-sharing functions for torque ripple minimization in switched reluctance motor drives" IEEE transactions on power electronics 24(9): 2076–2090. DOI: 10.1109/TPEL.2009.2019581.
  8. [8] J. Ye, B. Bilgin, and A. Emadi, (2015) “An offline torque sharing function for torque ripple reduction in switched reluctance motor drives" IEEE Transactions on energy conversion 30(2): 726–735. DOI: 10.1109/TEC.2014.2383991.
  9. [9] D.-H. Lee, J. Liang, Z.-G. Lee, and J.-W. Ahn, (2009) “A simple nonlinear logical torque sharing function for low-torque ripple SR drive" IEEE Transactions on Industrial Electronics 56(8): 3021–3028. DOI: 10.1109/TIE.2009.2024661.
  10. [10] S. K. Sahoo, S. K. Panda, and J.-X. Xu, (2005) “Indirect torque control of switched reluctance motors using iterative learning control" IEEE Transactions on Power Electronics 20(1): 200–208. DOI: 10.1109/TPEL.2004. 839807.
  11. [11] H.-H. Lee, Q. Wang, S.-J. Kim, W. Choi, and G.-H. Lee, (2012) “A Simplified torque ripple reduction using the current shaping of the flux switched reluctance motor" Journal of Magnetics 17(3): 200–205. DOI: 10.4283/JMAG.2012.17.3.200.
  12. [12] H. Li, B. Bilgin, and A. Emadi, (2018) “An improved torque sharing function for torque ripple reduction in switched reluctance machines" IEEE Transactions on Power Electronics 34(2): 1635–1644. DOI: 10.1109/TPEL.2018.2835773.
  13. [13] S. Song, R. Hei, R. Ma, and W. Liu, (2020) “Model predictive control of switched reluctance starter/generator with torque sharing and compensation" IEEE Transactions on Transportation Electrification 6(4): 1519– 1527. DOI: 10.1109/TTE.2020.2975908.
  14. [14] S. Song, S. Huang, Y. Zhao, X. Zhao, X. Duan, R. Ma, and W. Liu, (2022) “Torque Ripple Reduction of Switched Reluctance Machine With Torque Distribution and Online Correction" IEEE Transactions on Industrial Electronics 70(9): 8842–8852. DOI: 10.1109/TIE. 2022.3210516.
  15. [15] Z. Zhu, B. Lee, L. Huang, and W. Chu, (2016) “Contribution of current harmonics to average torque and torque ripple in switched reluctance machines" IEEE Transactions on magnetics 53(3): 1–9. DOI: 10.1109/TMAG.2016.2633477.
  16. [16] X. Liu, Z. Zhu, and Z. Pan. “Analysis of electromagnetic torque in sinusoidal excited switched reluctance machines having DC bias in excitation”. In: 2012 XXth International Conference on Electrical Machines. IEEE. 2012, 2882–2888. DOI: 10.1109/ICElMach.2012.6350296.
  17. [17] J. Stephenson, A. Hughes, and R. Mann, (2001) “Torque ripple minimisation in a switched reluctance motor by optimum harmonic current injection" IEE Proceedings-Electric Power Applications 148(4): 322–328. DOI: 10.1049/ip-epa:20010480.
  18. [18] J. Stephenson, A. Hughes, and R. Mann, (2002) “Online torque-ripple minimisation in a switched reluctance motor over a wide speed range" IEE ProceedingsElectric Power Applications 149(4): 261–267. DOI: 10.1049/ip-epa:20020373.
  19. [19] N. T. Shaked and R. Rabinovici, (2005) “New procedures for minimizing the torque ripple in switched reluctance motors by optimizing the phase-current profile" IEEE Transactions on magnetics 41(3): 1184–1192. DOI: 10.1109/TMAG.2004.843311.
  20. [20] C. Ma, L. Qu, R. Mitra, P. Pramod, and R. Islam. “Vibration and torque ripple reduction of switched reluctance motors through current profile optimization”. In: 2016 IEEE Applied Power Electronics Conference and Exposition (APEC). IEEE. 2016, 3279–3285. DOI: 10.1109/APEC.2016.7468336.
  21. [21] O. Gundogmus, Y. Sozer, L. Vadamodala, J. Kutz, J. Tylenda, and R. L. Wright. “Current harmonics injection method for simultaneous torque and radial force ripple mitigation to reduce acoustic noise and vibration in SRMs”. In: 2019 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE. 2019, 7091–7097. DOI: 10.1109/ECCE.2019.8913056.
  22. [22] J. Chai and C. Liaw, (2010) “Reduction of speed ripple and vibration for switched reluctance motor drive via intelligent current profiling" IET Electric Power Applications 4(5): 380–396. DOI: 10.1049/iet-epa.2009.0061.
  23. [23] H. Cheng, H. Chen, Z. Yang, and W. Huang, (2015) “Braking torque closed-loop control of switched reluctance machines for electric vehicles" Journal of Power Electronics 15(2): 469–478. DOI: 10.6113/JPE.2015.15.2. 469.
  24. [24] M. Ma, F. Ling, F. Li, and F. Liu, (2020) “Torque ripple suppression of switched reluctance motor by segmented harmonic currents injection based on adaptive fuzzy logic control" IET Electric Power Applications 14(2): 325–335. DOI: 10.1049/iet-epa.2019.0027.
  25. [25] M. Deepak, G. Janaki, and C. Bharatiraja. “A Mathematical Modelling Approach Switched Reluctance Motor for Low Speed torque ripple minimization by Sensorless Intelligent Control”. In: 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT). IEEE. 2023, 1–6. DOI: 10.1109/GlobConHT56829.2023.10087413.
  26. [26] M. Deepak, G. Janaki, C. Bharatiraja, et al., (2022) “Design Switched Reluctance Motor Rotor Modification Towards Torque Ripple Analysis For EVs" Journal of Applied Science and Engineering 26(7): 949–958. DOI: 10.6180/jase.202307_26(7).0006.

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