基于多质点的城轨列车牵引计算分析与仿真

Traction Calculation Analysis and Simulation of Urban Rail Train on Multi-particle Model

为了优化城市轨道列车牵引运行过程,使其运行更为准确、切近实际,通过建立列车多质点模型,以列车运动学方程为基础,采用混合优化牵引策略,对列车运行过程进行仿真。在牵引和制动受力分析过程中采用线性插值法,制动点选取通过反向试凑法获得。根据所设定的列车参数和线路参数,用Matlab进行编程与仿真。仿真结果表明,多质点模型与单质点模型相比可以有效提高列车经过变曲率段和变坡道段的附加阻力精度;线性插值法和混合优化牵引策略的应用,使牵引仿真过程更为接近实际运行过程,符合城轨列车准确、快速的运行要求,为城轨列车自动驾驶研究提供必要的理论依据。

In order to optimize the traction operation of urban rail train, and make the train operation more accurately and closely to the reality, train multi-particle model was established on the basis of train kinematic equations and hybrid optimization traction strategy. Linear interpolation was adopted in the process of traction and braking force analysis, and the selection of braking point was obtained by reverser trial method. Then, according to the set parameters of train and line, traction operation was simulated by Matlab. Simulation results show that multi-particle model compared with single-particle model, can effectively improve precision of additional resistance on variable curvature and ramp segments, and applications of linear interpolation method and hybrid optimization traction strategy make the traction simulation process closer to the actual, which could provide necessary theoretical basis for the research of urban rail train automatic operation.