IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/6196321.html
   My bibliography  Save this article

SPMSM Sensorless Control System Based on ASMO

Author

Listed:
  • Yu Cao
  • Chuang Liu
  • Rosalba Galván-Guerra

Abstract

Aiming at the chattering problem of traditional sliding mode observer (SMO) in surface-mounted permanent magnet synchronous motor (SPMSM) control system when estimating rotor position and speed and adaptive sliding mode observer (ASMO) is designed in this paper. The observer can reduce chattering and avoid the introduction of the low-pass filter, which simplifies the system structure, considering the difficulty in determining the sliding mode gain of the existing sliding mode observer, and an adaptive law is designed to adjust the sliding mode gain with the change of the back electromotive force, to meet the operation requirements of the system and improve the control accuracy of the sensorless control system. Finally, the simulation is built through Matlab/Simulink platform. It is proved that the proposed control strategy can satisfy the system’s accuracy and simultaneously reduce the chattering and solve the problem that the gain is difficult to determine.

Suggested Citation

  • Yu Cao & Chuang Liu & Rosalba Galván-Guerra, 2022. "SPMSM Sensorless Control System Based on ASMO," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-11, March.
    • Handle: RePEc:hin:jnlmpe:6196321
    DOI: 10.1155/2022/6196321
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/6196321.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/mpe/2022/6196321.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/6196321?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
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:hin:jnlmpe:6196321. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.