Surrogate Assisted Contour Algorithm for Optimal Design of IPMSM

被引：1
|
作者：
Wi, Chang-Hyun [1 ]
Lim, Dong-Kuk [1 ]
机构：
[1] Univ Ulsan, Dept Elect Elect & Comp Engn, Ulsan, South Korea
来源：
2021 24TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2021) | 2021年
关键词：
Interior Permanent Magnet Synchronous Motor; Optimal design; Surrogate model; Multimodal;
D O I：
10.23919/ICEMS52562.2021.9634661
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, the Surrogate Assisted Contour Algorithm (SAGA) is proposed to solve the multimodal optimization problem of electric motors. The surrogate models of SAGA are created and updated with fewer number of function calls using the sample of the proposed algorithm SAGA efficiently adds samples to construct surrogate models by applying contour region. The comparison with conventional algorithm in two mathematical test functions verified the remarkable performance of the proposed algorithm. Finally, the optimal design of the interior permanent magnet synchronous motor for fuel cell electric vehicles are conducted with applying the SAGA.
引用
收藏
页码：1297 / 1300
页数：4
相关论文
共 50 条
  • [1] Surrogate Assisted Contour Algorithm for Optimal Design of Interior Permanent Magnet Synchronous Motor for Electric Vehicles
    Chang-Hyun Wi
    Dong-Kuk Lim
    [J]. Journal of Electrical Engineering & Technology, 2022, 17 : 3297 - 3303
  • [2] Surrogate Assisted Contour Algorithm for Optimal Design of Interior Permanent Magnet Synchronous Motor for Electric Vehicles
    Wi, Chang-Hyun
    Lim, Dong-Kuk
    [J]. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2022, 17 (06) : 3297 - 3303
  • [3] A New Robust Surrogate-Assisted Multi-Objective Optimization Algorithm for an IPMSM Design
    Lim, Dong-Kuk
    Woo, Dong-Kyun
    Yeo, Han-Kyeol
    Jung, Sang-Yong
    Jung, Hyun-Kyo
    [J]. 2016 IEEE CONFERENCE ON ELECTROMAGNETIC FIELD COMPUTATION (CEFC), 2016,
  • [4] Optimal Design of Electrical Machines Assisted by Hybrid Surrogate Model Based Algorithm
    Ziyan Ren
    Yuan Sun
    Baoyang Peng
    Bin Xia
    Xia Li
    [J]. CES Transactions on Electrical Machines and Systems, 2020, (01) : 13 - 19
  • [5] Genetic Algorithm Adopting Building Block Identification applied to Optimal Design of IPMSM
    Son, Byungkwan
    Kim, Dae-Woo
    Kim, Jong-Wook
    Kim, Yong-Jae
    Jung, Sang-Yong
    [J]. 2016 IEEE CONFERENCE ON ELECTROMAGNETIC FIELD COMPUTATION (CEFC), 2016,
  • [6] Hybridization Algorithm of Fireworks Optimization and Generating Set Search for Optimal Design of IPMSM
    Kim, Dae-Woo
    Park, Gyeong-Jae
    Kim, Jong-Wook
    Kim, Yong-Jae
    Jung, Sang-Yong
    [J]. 2016 IEEE CONFERENCE ON ELECTROMAGNETIC FIELD COMPUTATION (CEFC), 2016,
  • [7] Hybridization Algorithm of Fireworks Optimization and Generating Set Search for Optimal Design of IPMSM
    Kim, Dae-Woo
    Park, Gyeong-Jae
    Lee, Ji-Han
    Kim, Jong-Wook
    Kim, Yong-Jae
    Jung, Sang-Yong
    [J]. IEEE TRANSACTIONS ON MAGNETICS, 2017, 53 (06)
  • [8] Optimal Design of a Pin-Fin Heat Sink Using a Surrogate-Assisted Multiobjective Evolutionary Algorithm
    Kanyakam, Siwadol
    Bureerat, Sujin
    [J]. ADVANCED DESIGN TECHNOLOGY, PTS 1-3, 2011, 308-310 : 1122 - 1128
  • [9] Automatic Optimal Design Method for Circuit Sizing Based on CNN Surrogate Model Assisted Differential Evolution Algorithm
    Tang, Chaoying
    Chen, Xiaofei
    Luo, Yanshen
    Zeng, Yanhan
    [J]. IEEE Access, 2024, 12 : 136238 - 136247
  • [10] Robust Design with Surrogate-Assisted Evolutionary Algorithm: Does It Work?
    Silva, Rodrigo C. P.
    Li, Min
    Ghorbanian, Vahid
    Guimaraes, Frederico G.
    Lowther, David A.
    [J]. BIOINSPIRED OPTIMIZATION METHODS AND THEIR APPLICATIONS, BIOMA 2018, 2018, 10835 : 295 - 306
12345