Finite-element-aided design optimization of a shaded-pole induction motor for maximum starting torque

被引：11
|
作者：
Zhou, DW [1 ]
Rajanathan, CB [1 ]
Sapeluk, AT [1 ]
Özveren, CS [1 ]
机构：
[1] Univ Abertay Dundee, Sch Sci & Engn, Dundee DD1 1HG, Scotland
来源：
IEEE TRANSACTIONS ON MAGNETICS | 2000年 / 36卷 / 05期
关键词：
deterministic method; genetic algorithms; optimization; shaded pole induction motors;
D O I：
10.1109/20.908895
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：
A method of optimizing the design of a shaded-pole induction motor for maximum starting torque with the aid of finite element modeling and a modified hybrid global-local search method combining the niching Genetic Algorithm with a direct search method is presented. By invoking the Genetic Algorithm and the deterministic method in turn, the solution with the global minimum is secured while simultaneously improving the convergence speed. The performance of the hybrid search method is demonstrated with an ideal mathematical problem first, before applying it to the shaded-pole motor design.
引用
收藏
页码：3551 / 3554
页数：4
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