IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i19p6940-d1253243.html
   My bibliography  Save this article

Analysis of Direct Torque Control Response to Stator and Rotor Faults in Permanent Magnet Synchronous Machines

Author

Listed:
  • Ibrahim M. Allafi

    (Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA)

  • Shanelle N. Foster

    (Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA)

Abstract

Direct-torque-control-driven permanent magnet synchronous machines eliminate the need for a position sensor while providing improved torque dynamics. However, the structure, regulation principle and nature of compensation of hysteresis-based controllers used in direct torque control impacts performance under faulty operating conditions. This paper analyzes the reaction of direct torque control to the presence of various faults that occur in permanent magnet synchronous machines. The analysis presented reveals that the direct torque control injects a negative sequence voltage and manipulates the torque angle to meet the control objectives when a fault occurs. The co-simulation of finite element analysis and a multi-physic circuit simulator is used to validate the response of the hysteresis-based controller to the machine health. The results indicate that the hysteresis comparators have the ability to mask the impact of the faults in the direct-torque-control-driven permanent magnet synchronous machines.

Suggested Citation

  • Ibrahim M. Allafi & Shanelle N. Foster, 2023. "Analysis of Direct Torque Control Response to Stator and Rotor Faults in Permanent Magnet Synchronous Machines," Energies, MDPI, vol. 16(19), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:19:p:6940-:d:1253243
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/19/6940/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/19/6940/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ibrahim M. Allafi & Shanelle N. Foster, 2023. "Condition Monitoring Accuracy in Inverter-Driven Permanent Magnet Synchronous Machines Based on Motor Voltage Signature Analysis," Energies, MDPI, vol. 16(3), pages 1-21, February.
    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. Jie Hu & Wentong Cao & Feng Jiang & Lingling Hu & Qian Chen & Weiguang Zheng & Junming Zhou, 2023. "Study on Multi-Objective Optimization of Power System Parameters of Battery Electric Vehicles," Sustainability, MDPI, vol. 15(10), pages 1-23, May.

    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:16:y:2023:i:19:p:6940-:d:1253243. 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.