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

页码：1297 / 1300

页数：4

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