IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v37y2021i2p179-196.html
   My bibliography  Save this article

Torque ripple mitigation in FCS-MPDTC of PMSM drive using an adaptive fuzzy logic modulator

Author

Listed:
  • Islam Benhamida
  • Aissa Ameur
  • Katia Kouzi

Abstract

This paper presents the use of the fuzzy logic duty cycle concept in the finite-control-set model predictive direct torque control (FCS-MPDTC) strategy to mitigate the torque ripples of a surface-mounted permanent magnet synchronous motor (PMSM) drive. In fact, MPDTC is a simple and powerful tool to overcome the main drawbacks associated with the commonly used control strategies like direct torque control (DTC) and field-oriented control (FOC). However, the conventional-MPDTC selects only one voltage vector (VV) per sampling period and this procedure leads to increase relatively the torque ripple. In order to further improve the torque control performance, an adaptive fuzzy logic-based duty cycle modulation is utilised and two VV's instead of single VV are applied during the whole control cycle. The performances of the proposed control scheme are simulated and compared to those obtained with conventional-MPDTC. The simulation results show that the proposed AFLM-MPDTC can effectively mitigate the torque ripples, even under severe operating conditions.

Suggested Citation

  • Islam Benhamida & Aissa Ameur & Katia Kouzi, 2021. "Torque ripple mitigation in FCS-MPDTC of PMSM drive using an adaptive fuzzy logic modulator," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 37(2), pages 179-196.
    • Handle: RePEc:ids:ijisen:v:37:y:2021:i:2:p:179-196
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=112882
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijisen:v:37:y:2021:i:2:p:179-196. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=188 .

    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.