山地城市复杂服役环境下基于轮胎动力学参数的跨座式单轨交通车辆弓网接触质量优化

Pantograph-catenary Contact Quality Optimization for Straddle Monorail Vehicles Based on Tire Dynamic Parameters in Mountainous Cities Complex Service Environments

  • 摘要:
    目的 山地城市复杂服役环境下,跨座式单轨交通车辆弓网关系难以协调和控制,弓网接触接触质量差,导致受电弓滑块磨耗严重。为降低受电弓滑块磨耗,须基于轮胎动力学参数优化该环境下的跨座式单轨交通车辆弓网接触质量。
    方法 为更好模拟复杂服役情况下的跨座式单轨交通车辆弓网耦合状态,基于轨道梁的不平度测试数据,建立计及轨道梁空间三维激励与沉降的大超高小半径曲线段跨座式单轨交通车辆车-弓-网耦合动力学仿真分析模型。利用灵敏度分析方法对车辆轮胎动力学参数对弓网接触力的影响程度进行分析;采用多目标协同优化方法,将弓网接触力和转向架横向加速度作为优化目标,利用NSGA-Ⅱ(非支配排序遗传算法)优化车辆轮胎动力学参数。
    结果及结论 优化轮胎动力学参数能有效改善受电弓使用性能。优化后的弓网接触力标准差下降8.76%,转向架横向加速度平均值降低,标准差下降16.42%。

     

    Abstract:
    Objective In the complex service environments of mountainous cities, the pantograph-catenary relationship of straddle monorail vehicles is difficult to coordinate and control, and the pantograph-catenary contact quality is poor, leading to serious wear of pantograph sliders. To reduce the wear of pantograph sliders, the pantograph-catenary contact quality of straddle monorail vehicles under such environments must be optimized based on tire dynamic parameters.
    Method To better simulate the pantograph-catenary coupling state of straddle monorail under complex service conditions, a coupled vehicle-pantograph-catenary dynamics simulation analysis model of straddle monorail vehicles for large-superelevation and small-radius curved sections is established based on the track beams irregularity test data, considering spatial 3D excitation and settlement of track beams. The influence degree of vehicle tire dynamic parameters on the pantograph-catenary contact force is analyzed using the sensitivity analysis method. Taking the pantograph-catenary contact force and bogie lateral acceleration as optimization objectives, the vehicle tire dynamic parameters are optimized via NSGA-II (non-dominated sorting genetic algorithm) through a multi-objective collaborative optimization method.
    Result & Conclusion Optimizing tire dynamic parameters can effectively improve pantograph operational performance. After optimization, the standard deviation of pantograph-catenary contact force deceases by 8.76%, and for the bogie lateral acceleration, mean value drops and the standard deviation decreases by 16.42%.

     

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