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A fast general core loss model for switched reluctance machine

Author

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  • Ganji, B.
  • Mansourkiaee, Z.
  • Faiz, J.

Abstract

In the present paper, an analytical core loss model is introduced for the SRM (switched reluctance machine) which can be applied to different conventional types of this machine. Using the two mathematical models introduced before, the static characteristic of flux-linkage with a phase is obtained accurately in the core loss model first. Analyzing the machine based on the phase voltage equation, the stator pole flux waveform is then predicted. Considering an available flux model in the developed core loss model, the flux waveforms in various parts of the magnetic circuit of the machine are derived from the predicted stator pole flux waveform. Since the determined flux waveforms are completely non-sinusoidal, the improved Steinmetz equation is utilized in the developed core loss model for core loss estimation. In order to use the core loss model which is implemented totally in MATLAB software, one should just identify the design and control parameters. Due to high computation speed, the developed model can be utilized appropriately for optimal design of the SRM. Experimental results and finite element calculations are given for validation of the developed core loss model.

Suggested Citation

  • Ganji, B. & Mansourkiaee, Z. & Faiz, J., 2015. "A fast general core loss model for switched reluctance machine," Energy, Elsevier, vol. 89(C), pages 100-105.
    • Handle: RePEc:eee:energy:v:89:y:2015:i:c:p:100-105
    DOI: 10.1016/j.energy.2015.07.058
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    References listed on IDEAS

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    1. El-Kharashi, Eyhab, 2014. "Detailed comparative study regarding different formulae of predicting the iron losses in a machine excited by non-sinusoidal supply," Energy, Elsevier, vol. 73(C), pages 513-522.
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    Cited by:

    1. Nguyen, Duy-Minh & Bahri, Imen & Krebs, Guillaume & Berthelot, Eric & Marchand, Claude, 2019. "Vibration study of the intermittent control for a switched reluctance machine," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 158(C), pages 308-325.

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