Design by Optimization of an Axial-Flux Permanent-Magnet Synchronous Motor Using Genetic Algorithms

被引：0
|
作者：
Benlamine, R. [1 ,2 ]
Dubas, F. [2 ]
Randi, S-A. [1 ]
Lhotellier, D. [1 ]
Espanet, C. [2 ]
机构：
[1] Renault SA, Guyancourt, France
[2] Univ Franche, Femto Inst, Energy Dept, Comte, France
来源：
2013 INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS) | 2013年
关键词：
Optimization; genetic algorithms; axial-flux PM synchronous motor; embedded PM; analytical model;
D O I：
暂无
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, a genetic algorithm (GA) is used to optimize a motor for an automotive application. This motor is a double stator axial permanent-magnet (PM) machine, and the optimization uses a simplified analytical model. The solution obtained with the tool is compared to three-dimensional (3-D) finite-elements method (FEM) to confirm the validity of the model.
引用
收藏
页码：13 / 17
页数：5
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