基于遗传算法的双E型永磁接触器仿真优化设计  

Simulation and Optimization Design for Double-E Type Permanent Magnet Contactor Based on Genetic Algorithm

作　　者：汪先兵[1,2] 费树岷[2] 王祥傲[1] 王玉杰[1] 李玲纯[1] 

机构地区：[1]滁州学院机械与电子工程学院,安徽滁州239000 [2]东南大学自动化学院,江苏南京210096

出　　处：《低压电器》2013年第8期11-16,共6页Low Voltage Apparatus

基　　金：安徽省教育厅自然科学研究项目(KJ2012B127);安徽省自然科学基金(1308085QE97)

摘　　要：在详细分析永磁操动机构模型和相关理论的基础上,给出了永磁接触器操动机构的设计方法。基于磁路法获得永磁操动机构的初始设计参数,建立永磁操动机构最优化模型。采用遗传算法并结合电磁场有限元计算方法求解该最优化模型,获得合理的设计参数,并研制了1台250 A配双E型永磁操动机构的永磁接触器。试验结果表明,算法可实现永磁接触器的优化设计,大幅度提高产品的设计效率,验证了设计模型和算法的有效性与正确性。Based on the analysis of permanent magnet （PM） actuator model and the related theories, the design methods of PM actuator were given. The initial design parameters of PM actuator were obtained by magnetic circuit method and PM actuator optimization model was established. The optimization model was solved by using the genetic algorithm and combining the electromagnetic finite element calculation method to obtain reasonable design parameters. A 250 A PM contactor with double-E type PM actuator was developed. The experimental result shows that the algorithm can realize the optimal design for PM contactor and greatly improve the efficiency of product design, validate the effectiveness and correctness of the design model and algorithm.

关 键 词：永磁接触器 操动机构 仿真优化 遗传算法 

分 类 号：TM572.6[电气工程—电器]