IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i13p4662-d847848.html
   My bibliography  Save this article

Research on a Limit Analytical Method for a Low-Speed Micro Permanent Magnet Torque Motor with Back Winding

Author

Listed:
  • Shuangshuang Guo

    (School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China)

  • Bo Zhao

    (School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China)

  • Cunshan Zhang

    (School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China)

  • Binglin Lu

    (School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China)

  • Yukang Chu

    (Shandong Shanbo Electric Machine Group Co., Ltd., Zibo 255000, China)

  • Peng Yang

    (Shandong Shanbo Electric Machine Group Co., Ltd., Zibo 255000, China)

Abstract

The conventional permanent magnet torque motor (PMTM) is slotted on the inner surface of the stator core. When the size of the stator core is small, the winding coils are difficult to embed into the slots. To solve the problem, a novel PMTM is presented, which is slotted on the outer surface of the stator core. As a result, the winding coils can be conveniently embedded into the slots from the outer surface of the stator core. The novel structure of the PMTM with back winding (BWPMTM) is introduced, and the advantage of the novel structure is analyzed. Furthermore, this paper proposes a limit analytical method to solve the optimal parameters of the motor which comprehensively considers four constraints: no-load back electromotive force (EMF), torque, temperature and slot space factor. The optimal parameters of the motor are directly solved to maximize torque density within the constrained range. This method avoids repeated iterative processes and greatly reduces the amount of calculation for PMTM design. Electromagnetic performance and thermal performance are analyzed based on the finite element model (FEM). Finally, the building of a prototype and the experimental results obtained with it are discussed. The rationality of the novel structure and the limit analytical method are verified.

Suggested Citation

  • Shuangshuang Guo & Bo Zhao & Cunshan Zhang & Binglin Lu & Yukang Chu & Peng Yang, 2022. "Research on a Limit Analytical Method for a Low-Speed Micro Permanent Magnet Torque Motor with Back Winding," Energies, MDPI, vol. 15(13), pages 1-20, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4662-:d:847848
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/13/4662/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/13/4662/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Caixia Gao & Mengzhen Gao & Jikai Si & Yihua Hu & Chun Gan, 2019. "A Novel Direct-Drive Permanent Magnet Synchronous Motor with Toroidal Windings," Energies, MDPI, vol. 12(3), pages 1-14, January.
    2. Wenping Chai & Thomas A. Lipo & Byung-il Kwon, 2018. "Design and Optimization of a Novel Wound Field Synchronous Machine for Torque Performance Enhancement," Energies, MDPI, vol. 11(8), pages 1-15, August.
    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. Selvin Raj, Jaya Antony Perinba & Asirvatham, Lazarus Godson & Angeline, Appadurai Anitha & Manova, Stephen & Rakshith, Bairi Levi & Bose, Jefferson Raja & Mahian, Omid & Wongwises, Somchai, 2024. "Thermal management strategies and power ratings of electric vehicle motors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    2. Yong-Min You, 2019. "Optimal Design of PMSM Based on Automated Finite Element Analysis and Metamodeling," Energies, MDPI, vol. 12(24), pages 1-18, December.
    3. Joon-Hyoung Ryu & June-Hee Lee & June-Seok Lee, 2020. "Switching Frequency Determination of SiC-Inverter for High Efficiency Propulsion System of Railway Vehicle," Energies, MDPI, vol. 13(19), pages 1-14, September.
    4. Ryszard Palka & Kamil Cierzniewski & Marcin Wardach & Pawel Prajzendanc, 2023. "Research on Innovative Hybrid Excited Synchronous Machine," Energies, MDPI, vol. 16(18), pages 1-14, September.
    5. Guodong You & Tao Xu & Honglin Su & Xiaoxin Hou & Xue Wang & Chengxin Fang & Jisheng Li, 2019. "Fault-Tolerant Control of Doubly-Fed Wind Turbine Generation Systems under Sensor Fault Conditions," Energies, MDPI, vol. 12(17), pages 1-14, August.
    6. Sunghun Kim & Youngjin Park & Seungbeom Yoo & Sejun Lee & Uttam Kumar Chanda & Wonjun Cho & Ocktaeck Lim, 2023. "Optimization of the Uniformity Index Performance in the Selective Catalytic Reduction System Using a Metamodel," Sustainability, MDPI, vol. 15(18), pages 1-16, September.

    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:13:p:4662-:d:847848. 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.