IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i10p2900-d556474.html
   My bibliography  Save this article

Diagnosis and Robust Design Optimization of SPMSM Considering Back EMF and Cogging Torque due to Static Eccentricity

Author

Listed:
  • Jin-Cheol Park

    (Department of Automotive Engineering, Hanyang University, Seoul 04763, Korea)

  • Soo-Hwan Park

    (Department of Automotive Engineering, Hanyang University, Seoul 04763, Korea)

  • Jae-Hyun Kim

    (Department of Automotive Engineering, Hanyang University, Seoul 04763, Korea)

  • Soo-Gyung Lee

    (Steel Solution R&D Center, Posco, Incheon 21985, Korea)

  • Geun-Ho Lee

    (Electric Motor Control Laboratory, Graduate School of Automotive Engineering, Kookmin University, Seoul 02707, Korea)

  • Myung-Seop Lim

    (Department of Automotive Engineering, Hanyang University, Seoul 04763, Korea)

Abstract

Static eccentricity (SE) is frequently generated by manufacturing processes. As the nonuniformity of the air-gap length is caused by the SE, the torque ripple and cogging torque increase in the motor. This study analyzes the distorted back electromotive force (EMF) and cogging torque due to SE. Further, a motor design considering SE is performed for stable back EMF and low cogging torque. First, the SE was diagnosed and analyzed using the back EMF and cogging torque measured from the test results of the base model. In addition, the rotor position was calculated using the unbalanced back EMF due to the SE. The calculated rotor position is used when analyzing phenomena due to SE and applied to robust design. Subsequently, robust design optimization was performed to improve the unbalanced back EMF and cogging torque due to SE. Using finite element analysis (FEA) considering SE, the shape of the stator was designed based on the base model. The estimated rotor position from the base model was applied to the optimum model to confirm its robustness from SE’s effects. Finally, the base and optimum models were compared through the test results.

Suggested Citation

  • Jin-Cheol Park & Soo-Hwan Park & Jae-Hyun Kim & Soo-Gyung Lee & Geun-Ho Lee & Myung-Seop Lim, 2021. "Diagnosis and Robust Design Optimization of SPMSM Considering Back EMF and Cogging Torque due to Static Eccentricity," Energies, MDPI, vol. 14(10), pages 1-19, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2900-:d:556474
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/10/2900/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/10/2900/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yucai Wu & Guanhua Ma, 2019. "Anti-Interference and Location Performance for Turn-to-Turn Short Circuit Detection in Turbo-Generator Rotor Windings," Energies, MDPI, vol. 12(7), pages 1-18, April.
    2. Alexandra C. Barmpatza & Joya C. Kappatou, 2020. "Study of a Combined Demagnetization and Eccentricity Fault in an AFPM Synchronous Generator," Energies, MDPI, vol. 13(21), pages 1-17, October.
    3. Andrea Del Pizzo & Luigi Pio Di Noia & Emanuele Fedele, 2020. "A Simple Analytical Model of Static Eccentricity for PM Brushless Motors and Validation through FEM Analysis," Energies, MDPI, vol. 13(13), pages 1-19, July.
    4. Anmol Aggarwal & Elias G. Strangas, 2019. "Review of Detection Methods of Static Eccentricity for Interior Permanent Magnet Synchronous Machine," Energies, MDPI, vol. 12(21), pages 1-20, October.
    5. Chung-Seong Lee & Kyoung-Soo Cha & Jin-Cheol Park & Myung-Seop Lim, 2020. "Tolerance-Insensitive Design of the Magnet Shape for a Surface Permanent Magnet Synchronous Motor," Energies, MDPI, vol. 13(6), pages 1-16, March.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Jie Yu & Youjun Zhang & Hongyuan Shen & Xiaoqin Zheng, 2022. "Adaptive Online Extraction Method of Slot Harmonics for Multiphase Induction Motor," Energies, MDPI, vol. 15(18), pages 1-14, September.

    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. Apostolos Lamprokostopoulos & Epameinondas Mitronikas & Alexandra Barmpatza, 2022. "Detection of Demagnetization Faults in Axial Flux Permanent-Magnet Synchronous Wind Generators," Energies, MDPI, vol. 15(9), pages 1-15, April.
    2. Steven Hayslett & Elias Strangas, 2021. "Analytical Design of Sculpted Rotor Interior Permanent Magnet Machines," Energies, MDPI, vol. 14(16), pages 1-22, August.
    3. Chung-Seong Lee & Hae-Joong Kim, 2022. "Harmonic Order Analysis of Cogging Torque for Interior Permanent Magnet Synchronous Motor Considering Manufacturing Disturbances," Energies, MDPI, vol. 15(7), pages 1-13, March.
    4. Carlos Candelo-Zuluaga & Jordi-Roger Riba & Carlos López-Torres & Antoni Garcia, 2019. "Detection of Inter-Turn Faults in Multi-Phase Ferrite-PM Assisted Synchronous Reluctance Machines," Energies, MDPI, vol. 12(14), pages 1-15, July.
    5. M. Asghar Khan & Tao Zheng, 2019. "Modelling and Design of a Low-Level Turn-to-Turn Fault Protection Scheme for Extra-High Voltage Magnetically Controlled Shunt Reactor," Energies, MDPI, vol. 12(24), pages 1-20, December.
    6. Akilu Yunusa-Kaltungo & Ruifeng Cao, 2020. "Towards Developing an Automated Faults Characterisation Framework for Rotating Machines. Part 1: Rotor-Related Faults," Energies, MDPI, vol. 13(6), pages 1-20, March.
    7. Anmol Aggarwal & Matthew Meier & Elias Strangas & John Agapiou, 2021. "Analysis of Modular Stator PMSM Manufactured Using Oriented Steel," Energies, MDPI, vol. 14(20), pages 1-19, October.
    8. Karolina Kudelina & Bilal Asad & Toomas Vaimann & Anton Rassõlkin & Ants Kallaste & Huynh Van Khang, 2021. "Methods of Condition Monitoring and Fault Detection for Electrical Machines," Energies, MDPI, vol. 14(22), pages 1-20, November.
    9. Zijian Liu & Pinjia Zhang & Shan He & Jin Huang, 2021. "A Review of Modeling and Diagnostic Techniques for Eccentricity Fault in Electric Machines," Energies, MDPI, vol. 14(14), pages 1-21, July.

    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:14:y:2021:i:10:p:2900-:d:556474. 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.