IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i8p1877-d1630037.html
   My bibliography  Save this article

Model-Free Adaptive Fuzzy Sliding-Mode Observer Control for PMSM

Author

Listed:
  • Boming Zhu

    (School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Dehong Zhu

    (School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Tao Tao

    (School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

Abstract

To further improve the estimation accuracy of the super-spiral observer, this paper innovatively proposes a fuzzy model-free adaptive control (FMFAC) super-spiral observer. The control scheme exhibits improved estimation accuracy after incorporating a fuzzy model-free adaptive component. The main contributions of this paper are as follows: (1) to achieve comprehensive fuzzy parameters without model adaptation, and (2) to creatively summarize the fuzzy rule table according to the observer’s characteristics. Experimental results demonstrate that the control performance of the proposed observer surpasses that of the traditional hyper-spiral observer.

Suggested Citation

  • Boming Zhu & Dehong Zhu & Tao Tao, 2025. "Model-Free Adaptive Fuzzy Sliding-Mode Observer Control for PMSM," Energies, MDPI, vol. 18(8), pages 1-19, April.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:8:p:1877-:d:1630037
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/8/1877/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/8/1877/
    Download Restriction: no
    ---><---

    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:18:y:2025:i:8:p:1877-:d:1630037. 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: 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.