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Control system for maximum use of adhesive forces of a railway vehicle in a tractive mode

机译:在牵引模式下最大程度利用铁路车辆附着力的控制系统

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摘要

The realization of maximum adhesive forces for a railway vehicle is a very difficult process, because it involves using tractive efforts and depends on friction characteristics in the contact zone between wheels and rails. Tractive efforts are realized by means of tractive torques of motors, and their maximum values can provide negative effects such as slip and skid. These situations usually happen when information about friction conditions is lacking. The negative processes have a major influence on wearing of contact bodies and tractive units. Therefore, many existing control systems for vehicles use an effect of a prediction of a friction coefficient between wheels and rails because measuring a friction coefficient at the moment of running vehicle movement is very difficult. One of the ways to solve this task is to use noise spectrum analysis for friction coefficient detection. This noise phenomenon has not been clearly studied and analyzed. In this paper, we propose an adhesion control system of railway vehicles based on an observer, which allows one to determine the maximum tractive torque based on the optimal adhesive force between the wheels (wheel pair) of a railway vehicle and rails (rail track) depending on weight load from a wheel to a rail, friction conditions in the contact zone, a lateral displacement of wheel set and wheel sleep. As a result, it allows a railway vehicle to be driven in a tractive mode by the maximum adhesion force for real friction conditions.
机译:对于铁路车辆而言,实现最大粘附力是一个非常困难的过程,因为这涉及到使用牵引力,并且取决于车轮与轨道之间接触区域的摩擦特性。牵引力是通过电动机的牵引转矩来实现的,其最大值会产生负面影响,例如打滑和打滑。这些情况通常在缺少有关摩擦条件的信息时发生。负面过程对接触体和牵引单元的磨损有重大影响。因此,许多现有的用于车辆的控制系统利用车轮和轨道之间的摩擦系数的预测效果,因为在行驶车辆运动时测量摩擦系数非常困难。解决此任务的方法之一是使用噪声频谱分析进行摩擦系数检测。尚未对这种噪声现象进行清晰的研究和分析。在本文中,我们提出了一种基于观察者的铁路车辆附着力控制系统,该系统可以根据铁路车辆的车轮(轮对)与轨道(轨道)之间的最佳附着力来确定最大牵引扭矩。取决于车轮到轨道的重量负荷,接触区域的摩擦条件,车轮副的侧向位移和车轮睡眠。结果,它允许铁路车辆在实际摩擦条件下通过最大附着力以牵引模式行驶。

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