Genetic Algorithm Based Shape Optimization Method of DC Solenoid Electromagnetic Actuator

被引：0
|
作者：
Plavec, Eduard [1 ]
Uglesic, Ivo [2 ]
Vidovic, Mladen [1 ]
机构：
[1] KONCAR Elect Engn Inst Inc, Switchgear & Controlgear Dept, Zagreb 10000, Croatia
[2] Fac Elect Engn & Comp, Dept Energy & Power Syst, Zagreb 10000, Croatia
来源：
APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL | 2018年 / 33卷 / 03期
关键词：
Electromagnetic actuator; finite element method; genetic algorithm; shape optimization; solenoid;
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 presents the method for the shape optimization of the DC solenoid electromagnetic actuator using a genetic algorithm. Numerical simulation of its transient response includes simultaneously solving differential equations of magnetic, electrical and mechanical subsystems. The magnetic subsystem is analyzed by finite element method (FEM), while the electrical and mechanical subsystems are modeled separately and mutually coupled. A modified genetic algorithm is programmed in MATLAB software package. The shape optimization has been performed on two-dimensional (2D) axial-symmetric model of electromagnetic actuator. The measurement results obtained after the production and testing of electromagnetic actuator are compared with results of numerical simulation.
引用
收藏
页码：325 / 334
页数：10
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