Dynamic Performance Optimization of Monorail Rapid Transit Formation Vehicles Based on Improved Artificial Potential Field Algorithm

Mechanics Pub Date : 2024-02-23 DOI:10.5755/j02.mech.34670
Haoxin Wu, Zixue Du, Zhen YANG, Xiaoxia WEN
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Abstract

This paper presents a new type of monorail rapid transit vehicle, which can operate in formation. In order to optimize the dynamic performance of the formation vehic-les when passing through the small radius curve, this paper first analyzes the structure of the new monorail rapid transit vehicle, and establishes the vehicle dynamic model and multi-body dynamics simulation model. Then the improved artificial potential field algorithm is used to build the formation vehicle operation controller. Finally, the dynamic performance evaluation index of the new mono-rail rapid transit formation vehicle is formulated, and the formation vehicle passing through the small radius curve scene is simulated. The simulation results show that the controller of the formation vehicle with dynamic optimi-zation control can effectively optimize the load transfer coefficient of running wheels, unbalanced centrifugal acce-leration and roll angle of vehicle body when passing thro-ugh the curve. Through this control method, the dynamic performance of formation vehicles passing through small radius curve lines can be optimized.
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基于改进的人工势场算法的单轨捷运编组车辆动态性能优化
本文介绍了一种可编队运行的新型单轨快速交通车辆。为了优化编队车辆通过小半径曲线时的动态性能,本文首先分析了新型单轨快速交通车辆的结构,建立了车辆动力学模型和多体动力学仿真模型。然后采用改进的人工势场算法建立编组车辆运行控制器。最后,制定了新型单轨快速交通编组车辆的动态性能评价指标,并对编组车辆通过小半径曲线场景进行了仿真。仿真结果表明,采用动态优化控制的编组车辆控制器能有效优化通过弯道时运行车轮的载荷传递系数、不平衡离心加速度和车体侧倾角。通过这种控制方法,可以优化编队车辆通过小半径曲线线路时的动态性能。
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