基于粒子群算法的磁流变缓冲器磁路设计研究  

Research on Magnetic Circuit Design of Magnetorheological Buffer Based on Particle Swarm Optimization

作　　者：韩晓明[1] 张超 许桎嶂 李强[1] 李侃伟 HAN Xiaming;ZHANG Chao;XU Zhizhang;LI Qiang;LI Kanwei(School of Mechatronics Engineering, North University of China, Taiyuan 030051, China;Wuhan Guide Infrared Co. , Ltd. , Wuhan 430070, China)

机构地区：[1]中北大学机电工程学院,太原030051 [2]武汉高德红外股份有限公司,武汉430070

出　　处：《兵器装备工程学报》2020年第12期161-165,共5页Journal of Ordnance Equipment Engineering

基　　金：装备预研领域基金项目(6140240040106)。

摘　　要：为研究冲击载荷下磁流变缓冲器的缓冲特性,设计了一种磁流变弹簧复合工作模式的缓冲器。进行磁路设计时,利用自适应权重粒子群优化算法对磁路响应时间进行了优化,并基于有限元法对冲击载荷下缓冲器优化前后的静、动态磁场特性进行了分析。研究结果表明:静态,动态磁场对结构参数较为敏感,运动状态下磁场会发生一定程度“退磁”现象,使得工作磁场小于静态磁场,通过弹簧可以有效补偿磁流变缓冲器的动态特性。通过粒子群算法可有效提高磁流变缓冲器的响应速度,这对提高冲击载荷下缓冲器的缓冲特性具有重要意义。In order to study the cushioning characteristics of magnetorheological buffer under impact load,a magnetorheological spring buffer with compound working mode was designed.When designing the magnetic circuit,the adaptive weighted particle swarm optimization algorithm was used to optimize the response speed of the magnetic circuit,and the static and dynamic magnetic field characteristics of the buffer before and after optimization under impact load were analyzed based on the finite element method.The results show that the static and dynamic magnetic fields were sensitive to the structural parameters,and the magnetic field will be demagnetized to a certain extent in the moving state,which makes the working magnetic field smaller than the static magnetic field.the dynamic characteristics of magnetorheological buffers can be effectively compensated by springs.The particle swarm optimization algorithm can effectively improve the response speed of the magnetorheological buffer,which is of great significance to improve the buffering characteristics of the buffer under impact load.

关 键 词：冲击载荷 磁流变缓冲器 自适应粒子群算法 磁路设计 动态磁场 

分 类 号：TJ303.4[兵器科学与技术—火炮、自动武器与弹药工程] TB535.1[理学—物理]