Genetic Algorithm Based Plunger Shape Optimization of DC Solenoid Electromagnetic Actuator

被引：0
|
作者：
Plavec, Eduard [1 ]
Vidovic, Mladen [1 ]
机构：
[1] Koncar Elect Engn Inst Inc, Fallerovo Setaliste 22, Zagreb, Croatia
来源：
2016 24TH TELECOMMUNICATIONS FORUM (TELFOR) | 2016年
关键词：
DC electromagnetic actuator; finite element method; genetic algorithm; shape optimization; solenoid;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
This paper presents the results of research of plunger shape influence on the time response and attraction force of DC solenoid electromagnetic actuator depending on the length of the working gap. The plunger shape optimization has been performed on two-dimensional (2D) axial-symmetric model using a genetic algorithm, while the magnetic subsystem of electromagnetic actuator is analyzed by the finite element method (FEM).
引用
收藏
页码：531 / 534
页数：4
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