地铁车辆受流器归算质量模型动态参数优化
阮杰1王柄钦1郭文1黄冬亮2阎晓晖3
Dynamic Parameters Optimization for the Reduction Mass Model of Metro Vehicle Current Collector
RUAN JieWANG BingqinGUO WenHUANG DongliangYAN Xiaohui
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作者信息:1.1. 武汉理工大学现代汽车零部件技术湖北省重点实验室， 430070， 武汉；
2.2. 中铁第四勘察设计院集团有限公司
3.电气化设计研究院， 430063， 武汉；
4.3. 武汉地铁运营有限公司， 430035， 武汉
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Affiliation:Provincial Laboratory of Modern Automotive Parts Technology, Wuhan University of Technology, 430070, Wuhan, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2022.10.012
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中图分类号/CLCN:U264.3+4
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栏目/Col:研究报告
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。
Abstracts:
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.
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