IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v89y2015icp100-105.html
   My bibliography  Save this article

A fast general core loss model for switched reluctance machine

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544215009536
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2015.07.058?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arun Shankar, Vishnu Kalaiselvan & Umashankar, Subramaniam & Paramasivam, Shanmugam & Hanigovszki, Norbert, 2016. "A comprehensive review on energy efficiency enhancement initiatives in centrifugal pumping system," Applied Energy, Elsevier, vol. 181(C), pages 495-513.
    2. Prince, & Hati, Ananda Shankar, 2021. "A comprehensive review of energy-efficiency of ventilation system using Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:89:y:2015:i:c:p:100-105. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.