Optimal control strategy for excitation parameters of SRGs

Abstract

To solve the inherent contradiction between convergence speed and optimization accuracy in the traditional optimal control strategy for the excitation parameters of SRGs, a novel optimal control strategy for the excitation parameters is proposed. In this strategy, the turn-off angle is fixed at its optimal value and kept constant, and the turn-on angle is optimized through two steps. In the first step, the optimal searching region of the turn-on angle is calculated by a fitting formula. Then in the second step, the golden section algorithm is used to optimize the turn-on angle. Meanwhile, the phase current amplitude is used as the degree of freedom necessary to regulate the generation power. Experimental results indicate that the novel optimal control strategy for excitation parameters can effectively improve convergence speed and efficiency of SRGs.

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

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

References

  1. 1.

    Barros, T.A.S., Neto, P.J.S., Filho, P.S.N., Moreira, A.B., Filho, E.R.: An approach for switched reluctance generator in a wind generation system with a wide range of operation speed. IEEE Trans. Power. Electron. Mag. 32(11), 8277–8292 (2017)

    Article  Google Scholar 

  2. 2.

    Choi, D., Byun, S., Cho, Y.: A study on the maximum power control method of switched reluctance generator for wind turbine. IEEE Trans. Mag. Mag. 50(1), 1–4 (2014)

    Article  Google Scholar 

  3. 3.

    Sun, X., Diao, K., Lei, G., Guo, Y., Zhu, J.: Study on segmented-rotor switched reluctance motors with different rotor pole numbers for BSG system of hybrid electric vehicles. IEEE Trans. Veh. Technol. Mag. 68(6), 5537–5547 (2019)

    Article  Google Scholar 

  4. 4.

    Bartolo, J.B., Degano, M., Espina, J., Gerada, C.: Design and initial testing of a high-speed 45-kW switched reluctance drive for aerospace application. IEEE Trans. Ind. Electron. Mag. 64(2), 988–997 (2017)

    Article  Google Scholar 

  5. 5.

    Valdivia, V., Todd, R., Bryan, F.J., Barrado, A., Lázaro, A., Forsyth, A.J.: Behavioral modeling of a switched reluctance generator for aircraft power systems. IEEE Trans. Ind. Electron. Mag. 61(6), 2690–2699 (2014)

    Article  Google Scholar 

  6. 6.

    Ding, W., Liang, D.: A fast analytical model for an integrated switched reluctance starter/generator. IEEE Trans. Energy Convers. Mag. 25(4), 948–956 (2010)

    Article  Google Scholar 

  7. 7.

    Cheng, H., Chen, H., Xu, S.H., Yang, S.Y.: Adaptive variable angle control in switched reluctance motor drives for electric vehicle applications. J Power Electron. Mag. 17(6), 1512–1522 (2017)

    Google Scholar 

  8. 8.

    Xu, Y.Z., Zhong, R., Chen, L., Lu, S.L.: Analytical method to optimize turn-on angle and turn-off angle for switched reluctance motor drives. IET Electr. Power Appl. Mag. 6(9), 593–603 (2012)

    Article  Google Scholar 

  9. 9.

    Mademlis, C., Kioskeridis, I.: Optimizing performance in current-controlled switched reluctance generators. IEEE Trans. Energy Convers. Mag. 20(3), 556–565 (2005)

    Article  Google Scholar 

  10. 10.

    Roshandel, E., Namazi, M.M., Rashidi, A., Saghaian, S.M., Ahn, J.: SSC strategy for SRG to achieve maximum power with minimum current ripple in battery charging. IET Electr. Power Appl. Mag. 11(7), 1205–1213 (2017)

    Article  Google Scholar 

  11. 11.

    Sikder, C., Husain, I., Sozer, Y.: Switched reluctance generator control for optimal power generation with current regulation. IEEE Trans. Ind. Appl. Mag. 50(1), 307–316 (2014)

    Article  Google Scholar 

  12. 12.

    Sozer, Y., Torrey, D.A.: Closed loop control of excitation parameters for high speed switched-reluctance generators. IEEE Trans. Power. Electron. Mag. 19(2), 355–362 (2004)

    Article  Google Scholar 

  13. 13.

    Yu, S.Y., Zhang, F.G., Lee, D.H., Ahn, J.W.: High efficiency operation of a switched reluctance generator over a wide speed range. J. Power Electron. Mag. 15(1), 123–130 (2015)

    Article  Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to Yuyu Dou.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Dou, Y., Chen, D. Optimal control strategy for excitation parameters of SRGs. J. Power Electron. (2020). https://doi.org/10.1007/s43236-020-00148-x

Download citation

Keywords

  • Switched reluctance generator (SRG)
  • Optimal control strategy
  • Golden section algorithm
  • Excitation parameters