IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i23p6096-d1536099.html
   My bibliography  Save this article

Identification of the Parameters of the Highly Saturated Permanent Magnet Synchronous Motor (PMSM): Selected Problems of Accuracy

Author

Listed:
  • Michal Gierczynski

    (Institute of Control and Industrial Electronics, Warsaw University of Technology, 00-662 Warsaw, Poland)

  • Rafal Jakubowski

    (Institute of Control and Industrial Electronics, Warsaw University of Technology, 00-662 Warsaw, Poland)

  • Emil Kupiec

    (Institute of Control and Industrial Electronics, Warsaw University of Technology, 00-662 Warsaw, Poland)

  • Lukasz Jan Niewiara

    (Institute of Control and Industrial Electronics, Warsaw University of Technology, 00-662 Warsaw, Poland)

  • Tomasz Tarczewski

    (Institute of Control and Industrial Electronics, Warsaw University of Technology, 00-662 Warsaw, Poland)

  • Lech M. Grzesiak

    (Institute of Control and Industrial Electronics, Warsaw University of Technology, 00-662 Warsaw, Poland)

Abstract

Machines with highly saturated magnetic circuits are utilized to maximize drive efficiency. However, their control is non-trivial due to highly non-linear characteristics, and therefore, an accurate parameter identification procedure is crucial. This paper presents and validates a comprehensive flux linkage identification procedure. Several steps needed for accurate parameter identification and their influence on the estimation results are described. The impact of all main parts of the electrical drive, i.e., dead times introduced between switching off and switching on the power transistors, phase delay from the current low-pass filters, delay from the control system, and misalignment of the d – axis angle due to the machine asymmetries is considered and partially eliminated. An improved identification procedure with the look-up table-based dead time compensation and estimation of equivalent circuit resistance is applied to estimate the parameters of the highly saturated PMSM traction machine from the fourth generation of the Toyota Prius, and the obtained results are compared with a Finite Element Method-based model of this machine. Finally, dynamic test results are conducted to prove the proposed approach’s accuracy.

Suggested Citation

  • Michal Gierczynski & Rafal Jakubowski & Emil Kupiec & Lukasz Jan Niewiara & Tomasz Tarczewski & Lech M. Grzesiak, 2024. "Identification of the Parameters of the Highly Saturated Permanent Magnet Synchronous Motor (PMSM): Selected Problems of Accuracy," Energies, MDPI, vol. 17(23), pages 1-28, December.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:6096-:d:1536099
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/23/6096/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/23/6096/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michal Gierczynski & Rafal Jakubowski & Emil Kupiec & Miroslaw Seredynski & Maciej Jaworski & Lech M. Grzesiak, 2024. "Modeling of the Fourth-Generation Toyota Prius Traction Machine as the Reference for Future Designs," Energies, MDPI, vol. 17(19), pages 1-23, September.
    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. Wenshao Bu & Shihao Guo & Zongang Fan & Jinwei Li, 2025. "Improved Adaptive PI-like Fuzzy Control Strategy of Permanent Magnet Synchronous Motor," Energies, MDPI, vol. 18(2), pages 1-16, January.

    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:23:p:6096-:d:1536099. 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.