IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v8y2017i1d10.1007_s13198-015-0366-2.html
   My bibliography  Save this article

Electromagnetic characteristics correlated with the excitation current and the rotor position in the SRM

Author

Listed:
  • Ali Arif

    (University of Biskra)

  • Abderrazak Guettaf

    (University of Biskra)

  • Salim Sbaa

    (University of Biskra)

  • Said Benramache

    (University of Biskra)

Abstract

This paper considers the implementation of a current control method for switched reluctance motors (SRMs) and presents a novel approach to the correlate and accurate on-line modeling of three phases, 6/4 an SRM drive. This paper is to present a new approach to the description of correlation between the electromagnetic torque and the excitation current with the rotor position in the SRMs. There was no evidence for significant changes in the electromagnetic characteristics (the flux linkage and torque) with correlation upon varying the excitation current, the main effects have been observed upon variation of the modifying the rotor position. The correlation between the electromagnetic torque and the excitation current with the rotor position were investigated. It must be noted that the magnetic equivalent circuit is conceptual in nature and therefore more appealing to studies and simulation for hysteresis and voltage control strategies.

Suggested Citation

  • Ali Arif & Abderrazak Guettaf & Salim Sbaa & Said Benramache, 2017. "Electromagnetic characteristics correlated with the excitation current and the rotor position in the SRM," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 180-187, January.
  • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:1:d:10.1007_s13198-015-0366-2
    DOI: 10.1007/s13198-015-0366-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-015-0366-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13198-015-0366-2?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.

    Citations

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


    Cited by:

    1. Abdelmalek Ouannou & Adil Brouri & Laila Kadi & Hafid Oubouaddi, 2022. "Identification of switched reluctance machine using fuzzy model," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(6), pages 2833-2846, December.

    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:spr:ijsaem:v:8:y:2017:i:1:d:10.1007_s13198-015-0366-2. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.