Simulation-Based Study of Self-Excited SRG by Using Nonlinear ‎Models and Open-Loop Excitation Strategies

  • Authors

    • V. Balasubramanian Department of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology, Chennai, India
    • S. Radhika Department of Electronics and Communication Engineering, Chennai Institute of Technology, Chennai
    • V. Senthil Nayagam Department of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology, Chennai, India
    https://doi.org/10.14419/fwa09g88

    Received date: June 17, 2025

    Accepted date: July 27, 2025

    Published date: August 4, 2025

  • Self-Excited SRG; Nonlinear Models; Open-Loop Excitation Strategies; Nonlinear Model
  • Abstract

    This research offers a comprehensive examination of the operational principles and dynamic characteristics of the Switched Reluctance Gen‎erator (SRG) when functioning in self-excited mode. The focus is on the rotor's inherent inclination to align with the path of least reluctance, ‎requiring the separate activation of each phase via appropriate power electronic converters and control systems. Recent studies emphasize ‎the increasing importance of the SRG in renewable energy and automotive industries. The study highlights the shortcomings of linear mod‎eling for precise simulation, especially when neglecting magnetic saturation and nonlinearities in the machine. A nonlinear model that in‎cludes magnetic saturation and utilizes a Fourier series-based inductance profile was developed in MATLAB/Simulink using data from an ‎existing prototype. The excitation approach used a parallel capacitor alongside a half-bridge converter, and simulations were performed in ‎open-loop mode. The research examined differences in speed, actuation angles, and load conditions, uncovering their effects on both transi‎ent and steady-state voltage performance. Results indicate that angle modulation greatly influences ignition timing and overall system effi‎ciency. This study enhances the basic comprehension of SRG functioning under self-excited conditions and aids future uses in energy-efficient systems.

  • References

    1. Gao, S., Wang, Q., Li, G., Qian, Z., Zhou, S., & Li, Z. (2021). A deflectable switched reluctance motor/generator for wave energy conversion and underwater propulsion systems. Journal of Electrical Engineering & Technology, 16, 3157–3167. https://doi.org/10.1007/s42835-021-00773-x.
    2. Valdivia, V., Todd, R., Bryan, F. J., Barrado, A., Lazaro, A., & Forsyth, A. J. (2014). Behavioral modeling of a switched reluctance generator for aircraft power systems. IEEE Transactions on Industrial Electronics, 61, 2690–2699. https://doi.org/10.1109/TIE.2013.2267696.
    3. Zhu, Y., Wu, H., & Zhang, J. (2020). Regenerative braking control strategy for electric vehicles based on optimization of switched reluctance generator drive system. IEEE Access, 8, 76671–76682. https://doi.org/10.1109/ACCESS.2020.2990349.
    4. Diao, K., Sun, X., Lei, G., Guo, Y., & Zhu, J. (2021). Multimode optimization of switched reluctance machines in hybrid electric vehicles. IEEE Transactions on Energy Conversion, 36, 2217–2226. https://doi.org/10.1109/TEC.2020.3046721.
    5. Sun, X., Diao, K., & Yang, Z. (2019). Performance improvement of a switched reluctance machine with segmental rotors for hybrid electric vehicles. Computers & Electrical Engineering, 77, 244–259. https://doi.org/10.1016/j.compeleceng.2019.05.006.
    6. Bahy, M., Nada, A. S., Elbanna, S. H., & Shanab, M. A. M. (2020). Voltage control of switched reluctance generator using grasshopper optimization algorithm. International Journal of Power Electronics and Drive Systems, 11, 75. https://doi.org/10.11591/ijpeds.v11.i1.pp75-85.
    7. Chen, H., Xu, D., & Deng, X. (2021). Control for power converter of small-scale switched reluctance wind power generator. IEEE Transactions on Industrial Electronics, 68, 3148–3158. https://doi.org/10.1109/TIE.2020.2978689.
    8. De Oliveira, A. L., Capovilla, C. E., Santana Casella, I. R., Azcue-Puma, J. L., & Sguarezi Filho, A. J. (2021). Co-simulation of an SRG wind turbine control and GPRS/EGPRS wireless standards in smart grids. IEEE/CAA Journal of Automatica Sinica, 8, 656–663. https://doi.org/10.1109/JAS.2021.1003883.
    9. Touati, Z., Pereira, M., Araújo, R. E., & Khedher, A. (2022). Improvement of steady state performance of voltage control in switched reluctance generator: Experimental validation. Machines, 10, 103. https://doi.org/10.3390/machines10020103.
    10. Li, Z., Yu, X., Qian, Z., Wang, X., Xiao, Y., & Sun, H. (2020). Generation characteristics analysis of deflection type double stator switched reluctance generator. IEEE Access, 8, 196175–196186. https://doi.org/10.1109/ACCESS.2020.3034467.
    11. Chirapo, K. A. C., Oliveira, A. L., Sguarezi Filho, A. J., Pelizari, A., Di Santo, S. G., & Costa, E. C. M. (2020). P+RES controller applied to the direct power control of switched reluctance generator. Journal of Control, Automation and Electrical Systems, 31, 360–366. https://doi.org/10.1007/s40313-019-00543-1.
    12. Sarr, A., Bahri, I., Berthelot, E., Kebe, A., & Diallo, D. (2020). Switched reluctance generator for low voltage DC microgrid operation: Experimental validation. Energies, 13, 3032. https://doi.org/10.3390/en13123032.
    13. Zan, X., Ni, K., Zhang, W., Jiang, Z., Cui, M., Yu, D., & Zeng, R. A. (2019). New control strategy for SR generation system based on modified PT control. IEEE Access, 7, 179720–179733. https://doi.org/10.1109/ACCESS.2019.2959088.
    14. dos Santos Barros, T. A., dos Santos Neto, P. J., Nascimento Filho, P. S., Moreira, A. B., & Ruppert Filho, E. (2017). An approach for switched reluctance generator in a wind generation system with a wide range of operation speed. IEEE Transactions on Power Electronics, 32, 8277–8292. https://doi.org/10.1109/TPEL.2017.2697822.
    15. Lu, M. Z., Jhou, P. H., & Liaw, C. M. (2021). Wind switched-reluctance generator based microgrid with integrated plug-in energy support mechanism. IEEE Transactions on Power Electronics, 36, 5496–5511. https://doi.org/10.1109/TPEL.2020.3029528.
    16. Araujo, W. R. H., Reis, M. R. C., Wainer, G. A., & Calixto, W. P. (2021). Efficiency enhancement of switched reluctance generator employing optimized control associated with tracking technique. Energies, 14, 8388. https://doi.org/10.3390/en14248388.
  • Downloads

  • How to Cite

    Balasubramanian, V. ., Radhika, S. ., & Nayagam , V. S. . (2025). Simulation-Based Study of Self-Excited SRG by Using Nonlinear ‎Models and Open-Loop Excitation Strategies. International Journal of Basic and Applied Sciences, 14(4), 84-97. https://doi.org/10.14419/fwa09g88