IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i16p6026-d893015.html
   My bibliography  Save this article

Analysis and Comparison of Two Permanent-Magnet Width-Modulation Arrays for Permanent Magnet Linear Synchronous Motor

Author

Listed:
  • Meizhu Luo

    (College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China)

  • Jian Duan

    (College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China)

  • Zhaoxi Yi

    (College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China)

Abstract

Permanent-magnet (PM) width-modulation array is designed to solve the issues resulting from big pole-pitches of PMLSMs in high-speed and high-precision systems. PM width-modulation array provided in this paper is a kind of segmented magnetic-pole structure, featuring low PM eddy currents and low thrust ripples. First, the magnetomotive force (MMF) excited by the PM width-modulation array is analyzed to prove its feasibility, the PM eddy current of the novel array is studied to show its advantage in high-speed applications, and the electromagnetic models of two PM width-modulation arrays are established, which are designed by the equal area method and the triangular modulation method, respectively. Then, the thrust features and the PM usage amounts of the two PM width-modulation arrays are analyzed by the finite element method (FEM) and the performance comparisons are presented. The prototype is manufactured and tested to verify the analytical results. The experimental data agree well with the simulations and analyses.

Suggested Citation

  • Meizhu Luo & Jian Duan & Zhaoxi Yi, 2022. "Analysis and Comparison of Two Permanent-Magnet Width-Modulation Arrays for Permanent Magnet Linear Synchronous Motor," Energies, MDPI, vol. 15(16), pages 1-14, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:16:p:6026-:d:893015
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/16/6026/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/16/6026/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tong Wen & Biao Xiang & Zhongyi Wang & Silei Zhang, 2020. "Speed Control of Segmented PMLSM Based on Improved SMC and Speed Compensation Model," Energies, MDPI, vol. 13(4), pages 1-16, 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.

      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:15:y:2022:i:16:p:6026-:d:893015. 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.