地铁车辆受流器归算质量模型动态参数优化  

Dynamic Parameters Optimization for the Reduction Mass Model of Metro Vehicle Current Collector

作　　者：阮杰[1] 王柄钦 郭文 黄冬亮[2] 阎晓晖 RUAN Jie;WANG Bingqin;GUO Wen;HUANG Dongliang;YAN Xiaohui(Provincial Laboratory of Modern Automotive Parts Technology,Wuhan University of Technology,430070,Wuhan,China)

机构地区：[1]武汉理工大学现代汽车零部件技术湖北省重点实验室,武汉430070 [2]中铁第四勘察设计院集团有限公司电气化设计研究院,武汉430063 [3]武汉地铁运营有限公司,武汉430035

出　　处：《城市轨道交通研究》2022年第10期59-64,共6页Urban Mass Transit

基　　金：中国铁路总公司课题(2016J006-B)。

摘　　要：为改善地铁车辆靴轨系统动力学性能,实现列车提速的目的,对武汉市某地铁线路使用的受流器进行优化设计。通过动态标定试验得到受流器归算质量模型及其各项参数,建立全参数化靴轨耦合有限元模型,并利用试验数据验证了仿真模型的准确性。对该模型在160 km/h速度下进行了靴轨系统动力学仿真,基于MATLAB软件编写了智能优化算法——粒子群算法,并联合ANSYS软件进行协同优化分析,以最小化接触力标准差为目标对受流器动态参数进行优化并得到了一组最优设计参数。结果显示,优化后接触力标准差较优化前降低43.89%,极大地提高了受流器稳定性。To improve the dynamic performance of metro vehicle shoe-rail system,achieve the goal of train speed elevation,optimization design is carried out on the current collector used on a Wuhan metro line.Through the dynamic calibration test,the reduction mass model of the current collector and its parameters are obtained,and the fully parameterized shoe-rail coupling finite element model is established,and the accuracy of the simulation model is verified by the test data.A shoe-rail system dynamic simulation is carried out on the model at the speed of 160 km/h,and the intelligent optimization algorithm—particle swarm optimization algorithm is compiled based on MATLAB software for synergetic optimization analysis in conjunction with ANSYS software.The dynamic parameters of the current collector are optimized with the goal of minimizing the standard deviation of contact force,and a set of optimal design parameters are obtained.Results show that the standard deviation of dynamic contact force after optimization is lowered by 43.89%,which greatly improves the current collection stability.

关 键 词：地铁 车辆 受流器 归算质量模型 动态参数 

分 类 号：U264.34[机械工程—车辆工程]