IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i2p317-d129899.html
   My bibliography  Save this article

Design and Optimization of a Brushless Wound-Rotor Vernier Machine

Author

Listed:
  • Qasim Ali

    (Department of Electronic Systems Engineering, Hanyang University, Ansan 15588, Korea)

  • Asif Hussain

    (Department of Electronic Systems Engineering, Hanyang University, Ansan 15588, Korea)

  • Noman Baloch

    (Department of Electronic Systems Engineering, Hanyang University, Ansan 15588, Korea)

  • Byung Il Kwon

    (Department of Electronic Systems Engineering, Hanyang University, Ansan 15588, Korea)

Abstract

In this paper, a permanent magnet (PM)-less, brushless, wound-rotor vernier machine (BL-WRVM) is proposed for variable speed applications such as electric vehicles and washing machines. The wound rotor is excited through an already existing brushless topology, which requires a dual inverter configuration to generate an additional subharmonic component in the stator magnetomotive force (MMF). Different from permanent magnet vernier machines (PMVMs), the proposed BL-WRVM provides easy regulation of the rotor flux for variable speed operation. A 24-slot, 4-pole stator, and 44-pole outer rotor were designed, and 2D finite element analysis (FEA) was carried out to determine the performance of the proposed machine. To improve the performance of the proposed machine, optimization of the rotor and stator winding turns was done. The optimized model was further analyzed for wide-speed operation, and its performance was then compared with that of an equivalent permanent magnet vernier machine (PMVM). The proposed machine has the advantage of low cost due to its PM-less structure and is suitable for variable speed applications.

Suggested Citation

  • Qasim Ali & Asif Hussain & Noman Baloch & Byung Il Kwon, 2018. "Design and Optimization of a Brushless Wound-Rotor Vernier Machine," Energies, MDPI, vol. 11(2), pages 1-14, February.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:2:p:317-:d:129899
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/2/317/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/11/2/317/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qingsong Wang & Yu Wu & Shuangxia Niu & Xing Zhao, 2022. "Advances in Thermal Management Technologies of Electrical Machines," Energies, MDPI, vol. 15(9), pages 1-17, April.

    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:11:y:2018:i:2:p:317-:d:129899. 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: 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.