Multiobjective FEM based optimization of BLDC motor using Matlab and Maxwell scripting capabilities

被引：9

作者：

Caramia, R. ^{[1
]}

Piotuch, R. ^{[2
]}

Palka, R. ^{[2
]}

机构：

[1] Univ Pavia, Dept Ind & Informat Engn, I-27100 Pavia, Italy

[2] West Pomeranian Univ Technol, Dept Power Engn & Elect Drives, PL-70313 Szczecin, Poland

来源：

ARCHIVES OF ELECTRICAL ENGINEERING | 2014年 / 63卷 / 01期

关键词：

permanent magnets excited electrical machines; multiobjective optimization; Pareto Front;

D O I：

10.2478/aee-2014-0009

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：

The paper presents a methodology for the optimization of a Brushless Direct Current motor (BLDC). In particular it is focused on multiobjective optimization using a genetic algorithm (GA) developed in Matlab/Optimization Toolbox coupled with Maxwell from ANSYS. Optimization process was divided into two steps. The aim of the first one was to maximize the RMS torque value and to minimize the mass. The second part of the optimization process was to minimize the cogging torque by selecting proper magnet angle. The paper presents the methodology and capabilities of scripting methods rather than specific optimization results for the applied geometry.

引用

页码：115 / 124

页数：10

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