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Optimal Design of a BLDC Motor Considering Three-Dimensional Structures Using the Response Surface Methodology

Author

Listed:
  • Seong-Tae Jo

    (Department of Electrical Engineering, Chungnam National University, Daejeon 305-764, Korea)

  • Hyo-Seob Shin

    (Department of Electrical Engineering, Chungnam National University, Daejeon 305-764, Korea)

  • Young-Geun Lee

    (Department of Electrical Engineering, Chungnam National University, Daejeon 305-764, Korea)

  • Ji-Hun Lee

    (Department of Electrical Engineering, Chungnam National University, Daejeon 305-764, Korea)

  • Jang-Young Choi

    (Department of Electrical Engineering, Chungnam National University, Daejeon 305-764, Korea)

Abstract

In this paper, the optimal design of a brushless direct current motor with a three-dimensional (3D) structure using the response surface methodology (RSM) is presented. There were two optimization goals: reduction of the cogging torque and maintenance of the back electromotive force to prevent performance degradation. For motors with a 3D structure, a 3D finite element method analysis is essential, though it requires considerable computation time. Therefore, to reduce the optimal design time, the 3D structure was placed on the 2D plane. Thereafter, a 2D corrected model was applied to the RSM. For the validity of the technique, the analysis results of the initial 3D model, 2D model, and 2D corrected model were compared, and the results of the optimal design 3D model, 2D corrected model, and experiment were compared.

Suggested Citation

  • Seong-Tae Jo & Hyo-Seob Shin & Young-Geun Lee & Ji-Hun Lee & Jang-Young Choi, 2022. "Optimal Design of a BLDC Motor Considering Three-Dimensional Structures Using the Response Surface Methodology," Energies, MDPI, vol. 15(2), pages 1-13, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:2:p:461-:d:721308
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    Citations

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    Cited by:

    1. Fábio Antônio do Nascimento Setúbal & Sérgio de Souza Custódio Filho & Newton Sure Soeiro & Alexandre Luiz Amarante Mesquita & Marcus Vinicius Alves Nunes, 2022. "Force Identification from Vibration Data by Response Surface and Random Forest Regression Algorithms," Energies, MDPI, vol. 15(10), pages 1-15, May.
    2. Jiongjiong Cai & Peng Ke & Xiao Qu & Zihui Wang, 2022. "Research on the Design of Auxiliary Generator for Enthalpy Reduction and Steady Speed Scroll Expander," Energies, MDPI, vol. 15(9), pages 1-17, April.

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