Skip to main content

Advertisement

Log in

Half-soft starting control of switched reluctance motor using discrete position signal processing

  • Published:
Cluster Computing Aims and scope Submit manuscript

Abstract

To solve the problem that the switched reluctance motor (SRM) may have harmful impact on the shaft during the starting process, a half-S soft starting control method is proposed. The switch signal is given based on the discrete position signal of SRM without the requirement of accurate rotor position information. In the process of the motor from static to rotation, the current step chopping soft starting is adopted to prevent the phase current from flowing; In starting acceleration stage, the edge signal of discrete position is used as the control period. By using sliding mode control, the increment of the rotation speed is identical at each position signal interval. The speed increased exponentially within the rated output power of motor. Through using Matlab/Simulink environment and switched reluctance motor drive platform, this method was validated, and the results reveals that the proposed method is able to achieve smooth starting and reduce the harmful impact on the mechanical system which shows high application value in the development field of SRM type electric vehicle.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. Shoujun, S., Lefei, G., Hucheng, L., et al.: Design and multi-objective optimization method of switched reluctance machines. Trans. China Electrotech. Soc. 29(5), 197–204 (2014)

    Google Scholar 

  2. Vijayakumar, K., Karthikeyan, R., Paramasivam, S., et al.: Switched reluctance motor modelling, design, simula-tion, and analysis: a comprehensive review. IEEE Trans. Magn. 44(12), 4605–4617 (2008)

    Article  Google Scholar 

  3. Kano, Y., Kosaka, T., Matsui, N.: Optimum design approach for a two-phase switched reluctance compressor drive. IEEE Trans. Ind. Appl. 46(3), 955–964 (2010)

    Article  Google Scholar 

  4. Raminosoa, T., Blunier, B., Fodorean, D., et al.: Design and optimization of a switched reluctance motor driving a compressor for a PEM fuel-cell system for automotive applications. IEEE Trans. Ind. Electron. 57(9), 2988–2997 (2010)

    Article  Google Scholar 

  5. Yinping, F.: Research on optimization design ofswitched reluctance motor. Coal Technol. 30(12), 258–259 (2011)

    Google Scholar 

  6. Xiaoshu, Z., Hao, C.: Study on the starting performance of switched reluctance starter generator system. Trans. China Electrotech. Soc. 30(20), 21–30 (2015)

    Google Scholar 

  7. Yang, Y., Zhang, Y., Wang, S.: Studyon starting performance of SRM by electric vehicle. J. Beijing Jiaotong Univ. 31(5), 114–116 (2007)

    Google Scholar 

  8. Wang, S., Yang, Y.: Starting performance of switched reluctance motor for electric traction. Electr. Mach. Control Appl. 34(10), 51–56 (2007)

    Google Scholar 

  9. Dean, Z., Fei, Z., Li, Q., et al.: Switched reluctance motor for integrated starter alternator driver system of vehicles. J. Nanjing Univ. Aeronaut. Astronaut. 40(6), 825–830 (2008)

    Google Scholar 

  10. Liu, C.: Theoretical Research and Engineering Practice of Switched Reluctance Motor Starter/Generator System. Nanjing University of Aeronautics and Astronautics, Nanjing (2000)

    Google Scholar 

  11. Fan, Y., Zhu, X.: Research on switched reluctance motor starting with constant acceleration. Mech. Electr. Eng. Mag. 31(2), 208–212 (2014)

    MathSciNet  Google Scholar 

  12. Wu, H.: Theory and Control Technology of Switched Reluctance Motor. China Electric Power Press, Beijing (2010)

    Google Scholar 

  13. Miller, J.M., McCleer, P.J., Lang, J.H.: Starter-alternator for hybrid electric vehicle-comparison of induction and variable reluctance machines and drives. IEEE 1, 513–523 (1998)

    Google Scholar 

  14. Xue, X.D., Cheng, K.W.E., Ho, S.L.: Study of power factor in SRM drives under current hysteresis chopping control. In: Conference Record of the Industry Applications Conference, vo1. 4, pp. 2734–2740 (2005)

  15. Hao, R.-K., Wu, R., Zhu, J., et al.: Research on the starting performance of SR motor. In: 2010 International Conference on Electrical and Control Engineering (ICECE), pp. 4168–4171 (2010)

  16. Hamed, S.A.: Analysis of variable-voltage thyristor controlled induction motors. IEE Proc. 137(3), 184–193 (1990)

    Google Scholar 

  17. Sun, J., Fang, J., Wang, J.: Oscillation in soft-starting of induction motor. Trans. China Electrotech. Soc. 22(2), 15–21 (2007)

    Google Scholar 

  18. Zenginobuz, G., Cadirci, I., et al.: Performance optimization of induction motors during voltage-controlled soft starting. IEEE Trans. Energy Convers. 19(2), 278–288 (2003)

    Article  Google Scholar 

  19. Vujiicic, V.P.: Modeling of a switched reluctance machine based on the invertible torque function. IEEE Trans. Magn. 44(9), 2186–2194 (2008)

    Article  Google Scholar 

  20. Li, Y., Bai, L.: The performance optimization in SR motor control through angular sub-division. In: 2010 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), pp. 933–936 (2010)

  21. Yuan, P., Zhang, W.: Application of improved M/T method in motor speed measurement. Light Ind. Mach. 30(1), 59–62 (2012)

    Google Scholar 

  22. Sun, T., Xu, D.: A variable M/T speed measurement method with single-chip processor and its application. Electr. Drive Autom. 19(4), 57–59 (1997)

    Google Scholar 

  23. Li, M., Li, Y.: Switched reluctance motor control simulation based on VSS. Comput. Simul. 26(12), 351–355 (2009)

    Google Scholar 

  24. Huang, C., Zhang, Y.: Variable-structure control of switched reluctance motor. Electr. Power Autom. Equip. 26(12), 35–37 (2006)

    Google Scholar 

  25. Changfan, Z., Yaonan, W.: An intelligent control using sliding mode variable structure and its application. Proc. CSEE 21(3), 27–29 (2001)

    Google Scholar 

  26. Li, X., Zhao, C., Xiao, L., et al.: Split ranging control method based on pseudo-sliding mode algorithm for cascaded DVR system. Proc. CSEE 27(21), 106–111 (2007)

    Google Scholar 

Download references

Acknowledgements

This work was supported by open Fund of Jiangsu Province Natural Science Foundation (Nos. BK20140649, BE2016805), National Natural Science Foundation (Nos. 61503081, 61473079) and Science For Earthquake Resilience (No. XH171001).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yongming Huang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, G., Wang, L., Huang, Y. et al. Half-soft starting control of switched reluctance motor using discrete position signal processing. Cluster Comput 20, 3185–3198 (2017). https://doi.org/10.1007/s10586-017-1041-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10586-017-1041-y

Keywords

Navigation