A genetic algorithm combined with finite element method for robust design of actuators

被引：0
|
作者：
Wang, HT
Liu, ZJ
Low, TS
Ge, SS
Bi, C
机构：
[1] Data Storage Inst, Singapore 117608, Singapore
[2] Natl Univ Singapore, Singapore, Singapore
来源：
IEEE TRANSACTIONS ON MAGNETICS | 2000年 / 36卷 / 04期
关键词：
actuators; finite element analysis; genetic algorithms; robust design;
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：
This paper describes a design optimization procedure based on a genetic algorithm combined with the finite element method. It adopts the concepts of Orthogonal Array for design parameter settings, and Signal-to-Noise Ratio (S/N) for evaluating the individual fitness. Taking advantage of the unique features of genetic algorithms, the robust solution is achieved by a rapid global search. The approach is applied to the robust design problem of a magnet actuator to demonstrate its effectiveness.
引用
收藏
页码：1128 / 1131
页数：4
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