Optimal design of switched reluctance machine using genetic algorithm

被引：0
|
作者：
Naayagi, RT [1 ]
Kamaraj, V [1 ]
机构：
[1] Sri Venkateswara Coll Engn, Dept Elect & Elect Engn, Sriperumbudur, India
来源：
Proceedings of the 4th WSEAS International Conference on Applications of Electrical Engineering | 2005年
关键词：
switched reluctance machine (SRM); genetic algorithm (GA); finite element method (FEM); finite element analysis (FEA);
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 novel optimization method based on Genetic algorithm (GA), for efficient design of a Switched Reluctance Machine (SRM) is proposed. We propose the method, which determines the typical parameters like Stator Pole Are, Rotor Pole Arc, Rotor Diameter and Stack Length of SRM, suitable especially for direct drives using Genetic Algorithm (GA). Magnetic Field analysis was done using Finite Element Analysis (FEA) based CAD package. The optimal design maximizes Flux linkage and Torque per unit rotor volume of the SRM. The simulation results obtained highlight the usefulness and effectiveness of the proposed strategy.
引用
收藏
页码：350 / 353
页数：4
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