摘要
针对弹性胶泥缓冲器动力学建模复杂以及模型仿真数据与测量数据吻合度低的问题,将缓冲器的结构原理与缓冲器加载、卸载工作过程结合起来,利用胶泥对速度的依赖特性,构建一种基于速度型的弹性胶泥缓冲器动力学模型。构造了动态调整惯性权值的改进微粒子群算法,并以落锤试验数据为基础,利用改进的算法对缓冲器动力学模型各参数进行优化求解。仿真结果表明:不同高度落锤仿真试验中,仿真数据和落锤试验数据总体吻合较好,具有较好的一致性,二者之间的最大车钩力和最大位移误差均小于5%。表明了该缓冲器动力学模型具备较高的准确度,该模型将为快捷货车纵向动力学性能的分析和弹性胶泥缓冲器性能优化提供有效的研究手段。
Aiming at the complexity of dynamic modeling of elastic polymer draft gear and the low anastomosis between model simulation data and field tests data,a dynamic model of elastic polymer draft gear was built based on the speed-dependent characteristics of the elastic polymer.The model is to combine the structure principle of draft gear with the working process of loading stage and unloading stage of draft gear.An improved particle swarm optimization(PSO)algorithm of adaptive inertia weight was constructed.Based on the drop hammer test data,the parameters of the dynamic model were determined by using the algorithm.The simulation result shows that in the drop hammer simulation tests at different hammer heights,the simulation data and the drop hammer test data are in good agreement,and the relative error of maximum coupler force and maximum displacement between the two is less than 5%.It shows that the dynamic model of the draft gear has high accuracy,and this model provides an effective research means for the analysis of the longitudinal dynamic performance of rapid speed wagon and the optimization of the elastic polymer draft gear performance.
作者
赵旭宝
魏伟
刘爽
张渊
ZHAO Xubao;WEI Wei;LIU Shuang;ZHANG Yuan(Institute of Software Technology,Dalian Jiaotong University,Dalian 116028,China;College of Locomotive and Rolling Stock Engineering,Dalian Jiaotong University,Dalian 116028,China;School of Civil Engineering,Dalian Jiaotong University,Dalian 116028,China)
出处
《振动与冲击》
EI
CSCD
北大核心
2020年第24期107-112,155,共7页
Journal of Vibration and Shock
基金
国家重点研发计划课题资助项目(2017YFB1201302-11)。
关键词
弹性胶泥缓冲器
快捷货车
微粒子群(PSO)算法
动力学建模
elastic polymer draft gear
rapid speed wagon
particle swarm optimization(PSO)algorithm
dynamic modeling
