Variable Mesh Adaptive Direct Search Algorithm Applied for Optimal Design of Electric Machines Based on FEA

被引：8

作者：

Lee, Dongsu ^{[1
]}

Kim, Jong-Wook ^{[2
]}

Lee, Cheol-Gyun ^{[3
]}

Jung, Sang-Yong ^{[1
]}

机构：

[1] Sungkyunkwan Univ, Sch Informat & Commun Engn, Suwon 440746, South Korea

[2] Dong A Univ, Dept Elect Engn, Pusan 604714, South Korea

[3] Dong Eui Univ, Dept Elect Engn, Pusan 614714, South Korea

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2011年 / 47卷 / 10期

基金：

新加坡国家研究基金会;

关键词：

Finite element analysis (FEA); interior PM synchronous machine (IPMSM); maximum torque per ampere (MTPA); optimal design; variable mesh adaptive direct search algorithm (VMADS); MAGNET SYNCHRONOUS MOTOR; OPTIMIZATION;

D O I：

10.1109/TMAG.2011.2152380

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：

Optimal design of electric machine based on finite element analysis (FEA) is characterized with the nonlinear magnetic saturation, which causes the much longer computation time for maintaining the high accuracy. In order to compensate the excessive computation time due to FEA and guarantee the reliable convergence to global optimum, variable mesh adaptive direct search (VMADS) is newly implemented with multi-start in this paper. Effectiveness of VMADS has been verified through a benchmark function. In particular, the proposed algorithm has been employed to optimal design of interior permanent magnet synchronous machine (IPMSM) for maximum torque per ampere (MTPA), of which design objective should be evaluated by FEA for better accuracy.

引用

页码：3232 / 3235

页数：4

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