基于测力轮对的纵向轮轨力测量方法研究
Research on longitudinal wheel-rail force measurement method based on instrumented wheelset
杜佳 1陈建政 1吴越 1任愈1
作者信息
- 1. 西南交通大学轨道交通运载系统全国重点实验室 成都 610031
- 折叠
摘要
由于地形条件的限制,越来越多的铁路线路设计不得不采用长大坡道,使得传统仅针对横向和垂向轮轨力的测力轮对技术已经无法解决后续运营维护阶段衍生的一系列问题,需要进一步开展纵向轮轨力测试技术研究.本文提出一种基于LM算法的纵向轮轨力测量方法.首先,通过有限元仿真计算验证纵向力的可测性并探明其作用规律,以此为基础设计纵向力测量电桥,将求解纵向力的问题转化为求解超定多元非线性方程组问题.利用阶次分解拟合任意角度下的标定系数,采用LM算法求解旋转角度与轮轨力.借助SIMPACK模拟列车不同条件下的爬坡运行状态,验证了本文方法的有效性并量化作用点位置对纵向力测量误差的影响.研究结果表明,本文提出纵向力测量方法具有较高的测量精度,其相对误差小于6%.
Abstract
Due to the limited terrain conditions,an increasing number of railway lines have to be designed with long inclines,rendering traditional wheel-rail force measurement technology,which only addresses lateral and vertical wheel-rail forces,inadequate for addressing the subsequent operational and maintenance issues.Further research into longitudinal wheel-rail force measurement technology is required to effectively address these challenges.Therefore,this paper introduces a longitudinal wheel-rail force measurement method based on the LM algorithm.Initially,the measurability of longitudinal force is validated and its governing principles are investigated through finite element simulation calculations.Subsequently,a longitudinal force measurement bridge is designed as a foundation for transforming the problem of solving longitudinal force into that of solving an overdetermined multivariate nonlinear equation system.Then,the degree decomposition is used for fitting calibration coefficient under arbitrary angle and the rotation angle and wheel-rail force is solved through the LM algorithm.By employing SIMPACK to simulate train uphill operation under diverse conditions,this study validated the proposed method and quantified the influence of contact point on longitudinal force measurement error.The results demonstrate that the proposed method exhibits high precision,with a relative error of less than 6%.
关键词
测力轮对/轮轨纵向力/LM/超定元非线性方程组Key words
instrumented wheelset/longitudinal wheel-rail force/LM/overdetermined multivariate nonlinear equations引用本文复制引用
出版年
2024
NETL
NSTL
万方数据