Rotor Optimization of a Segmented Reluctance Synchronous Motor Utilizing Genetic Algorithm

被引：0
|
作者：
Abdollahi, S. E. [1 ]
Mirzaei, M. [2 ]
Lesani, H. [1 ]
机构：
[1] Univ Tehran, Dept Elect & Comp Engn, Tehran, Iran
[2] Tech Univ Darmstadt, Inst Elect Energy Convers, Darmstadt, Germany
来源：
2009 INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS, VOLS 1-3 | 2009年
关键词：
Reluctance Synchronous Motor; Optimization; Genetic Algorithm; Finite Element Method; Mechanical Strength; MACHINES;
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, the genetic algorithm is employed in optimization of a reluctance synchronous motor. To evaluate fitness of each offspring, finite element method is employed. The model is implemented in finite element environment and for each offspring variation of torque in synchronous speed is calculated for different rotation angles. In optimization process harmonic contents are applied as a penalty to objective function. Mechanical stress analysis of optimized design is also presented to test the mechanical strength of the rotor at high speeds.
引用
收藏
页码：1481 / +
页数：2
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