IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i13p3334-d1430578.html
   My bibliography  Save this article

A New Torque Control Approach for Torque Ripple Minimisation in Switched Reluctance Drives

Author

Listed:
  • Ali Abdel-Aziz

    (Electronic and Electrical Engineering Department, Strathclyde University, 16 Richmond St, Glasgow G1 1XQ, UK)

  • Mohamed Elgenedy

    (School of Computing, Engineering and the Built Environment (SCEBE), Glasgow Caledonian University, 70 Cowcaddens Rd, Glasgow G4 0BA, UK)

  • Barry Williams

    (Electronic and Electrical Engineering Department, Strathclyde University, 16 Richmond St, Glasgow G1 1XQ, UK)

Abstract

The switched reluctance motor (SRM) has many merits, such as robustness, a simple construction, low cost, and no permanent magnets. However, its deployment in servo applications is restrained due to acoustic noise and torque ripple (TR). This paper presents a new torque control approach for TR reduction in switched reluctance drives. The approach is based on the maximum utilisation of the available dc-link voltage, hence extending the zero torque-ripple speed range. The approach is suitable for an SRM with any number of phases and stator/rotor poles. Soft switching control is deployed, which reduces switching losses. At any instant (regardless of the number of phases being conducted simultaneously), only one phase current is controlled. The well-established torque-sharing function concept is adapted and generalised to cater for more than two phases conducting simultaneously. MATLAB/Simulink confirmation simulations are based on the widely studied four-phase 8/6, 4 kW, 1500 rpm SRM.

Suggested Citation

  • Ali Abdel-Aziz & Mohamed Elgenedy & Barry Williams, 2024. "A New Torque Control Approach for Torque Ripple Minimisation in Switched Reluctance Drives," Energies, MDPI, vol. 17(13), pages 1-25, July.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:13:p:3334-:d:1430578
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/13/3334/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/13/3334/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Italo Almirante & Emilio Lorenzani, 2023. "Simple Strategy for Torque Ripple Minimization in Switched Reluctance Motor Drives," Energies, MDPI, vol. 16(19), pages 1-22, September.
    2. Mahmoud Hamouda & Fahad Al-Amyal & Ismoil Odinaev & Mohamed N. Ibrahim & László Számel, 2022. "A Novel Universal Torque Control of Switched Reluctance Motors for Electric Vehicles," Mathematics, MDPI, vol. 10(20), pages 1-21, October.
    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.
    1. Ali Abdel-Aziz & Mohamed Elgenedy & Barry Williams, 2024. "Review of Switched Reluctance Motor Converters and Torque Ripple Minimisation Techniques for Electric Vehicle Applications," Energies, MDPI, vol. 17(13), pages 1-26, July.
    2. Gabriel Freire & Guillermo Ramirez & René Gómez & Krzysztof Skrzypkowski & Krzysztof Zagórski, 2023. "Electro-Mechanical Modeling and Evaluation of Electric Load Haul Dump Based on Field Measurements," Energies, MDPI, vol. 16(11), pages 1-17, May.
    3. Yutong Bao & Changqing Du & Dongmei Wu & Huan Liu & Wei Liu & Jun Li, 2023. "Coordinated Slip Control of Multi-Axle Distributed Drive Vehicle Based on HLQR," Mathematics, MDPI, vol. 11(8), pages 1-18, April.

    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:17:y:2024:i:13:p:3334-:d:1430578. 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.