IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i7p1687-d1368676.html
   My bibliography  Save this article

Comparative Analysis and Design Optimization of Ferrite-Based Surface PM Vernier Machines

Author

Listed:
  • Gwan-Hui Jang

    (Department of Electrical and Computer Engineering, Inha University, Incheon 22212, Republic of Korea)

  • Abdur Rehman

    (Department of Electrical and Computer Engineering, Inha University, Incheon 22212, Republic of Korea)

  • Gilsu Choi

    (Department of Electrical and Computer Engineering, Inha University, Incheon 22212, Republic of Korea)

Abstract

This paper presents the results of a comprehensive investigation into the comparative analysis and design optimization of ferrite-based surface permanent magnet vernier machines (SPMVMs). While SPMVMs boast a simple mechanical structure and enhanced torque density attributed to the flux modulation effect, they suffer from a persistent challenge of low power factor. Several factors hinder the adoption of low-cost ferrite magnets in SPMVMs. First, ferrite magnets are prone to irreversible demagnetization, constraining the allowable range of magnet thickness. Second, the reduced residual magnetic flux density of ferrite magnets exacerbates the decrease in power factor and machine efficiency. Thus, achieving optimal performance in ferrite-based SPMVMs necessitates the careful selection of various design parameters. To address these issues, this study employs a surrogate-based metaheuristic optimization algorithm with adaptive sampling to identify the optimal solution. Additionally, the integration of a Halbach array is explored to further enhance the performance of the three-slot/two-pole SPMVM topology. Subsequently, two ferrite-based SPMVM baseline models—one with a conventional SPM structure and another with a Halbach magnet array—are thoroughly designed, optimized, and subjected to detailed performance analysis using the 2D finite element method.

Suggested Citation

  • Gwan-Hui Jang & Abdur Rehman & Gilsu Choi, 2024. "Comparative Analysis and Design Optimization of Ferrite-Based Surface PM Vernier Machines," Energies, MDPI, vol. 17(7), pages 1-19, April.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:7:p:1687-:d:1368676
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/7/1687/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/7/1687/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abdur Rehman & Byungtaek Kim, 2023. "Design and Analysis of 15 MW SPM Vernier Generator for Direct-Drive Wind Turbine Applications," Energies, MDPI, vol. 16(3), pages 1-14, January.
    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:17:y:2024:i:7:p:1687-:d:1368676. 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.