IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i5p1716-d758217.html
   My bibliography  Save this article

Sensorless Switched Reluctance Machine and Speed Control: A Study to Remove the Position Encoder at High Speed of Operation

Author

Listed:
  • Jonathan Velasco Costa

    (IDMEC, Técnico Lisboa, University of Lisbon, 1049 Lisbon, Portugal
    These authors contributed equally to this work.)

  • Paulo J. C. Branco

    (IDMEC, Técnico Lisboa, University of Lisbon, 1049 Lisbon, Portugal
    These authors contributed equally to this work.)

Abstract

High-speed electrical machines have been of great research interest because of their excellent efficiency and high storage capacity. In the case of switched reluctance machines (SRMs), position feedback is required for effective operation. The installation of this sensor in a high-speed flywheel is difficult and expensive. This paper proposes and analyses a methodology to estimate the position of a SRM and remove the position encoder to apply the machine as a flywheel at 50,000 rpm. The machine is modeled with non-linear characteristics, and is simulated under single-pulse operation due to the high-speed. Two configurations of the sensorless method are presented: Robust Method and Sequential Method. The robust configuration identifies the firing angles position only, while the sequential setup can track any position. Both configurations present advantages and disadvantages in relation to the error of estimation and to the number of estimations. The methods are tested in closed-loop speed control. In the two cases, the position estimation supports satisfactory results for simulating operation of the machine at high speed.

Suggested Citation

  • Jonathan Velasco Costa & Paulo J. C. Branco, 2022. "Sensorless Switched Reluctance Machine and Speed Control: A Study to Remove the Position Encoder at High Speed of Operation," Energies, MDPI, vol. 15(5), pages 1-14, February.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1716-:d:758217
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/5/1716/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/5/1716/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Roberto Rocca & Savvas Papadopoulos & Mohamed Rashed & George Prassinos & Fabio Giulii Capponi & Michael Galea, 2020. "Design Trade-Offs and Feasibility Assessment of a Novel One-Body, Laminated-Rotor Flywheel Switched Reluctance Machine," Energies, MDPI, vol. 13(22), pages 1-19, November.
    Full references (including those not matched with items on IDEAS)

    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.

      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:gam:jeners:v:15:y:2022:i:5:p:1716-:d:758217. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.