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Railway Traction Vehicle Longitudinal Velocity Estimation by Kalman Filter

机译:卡尔曼滤波器的铁路牵引车纵向速度估计

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Important task of railway traction vehicles is to achieve maximal tractive effort at any conditions if required. For this purpose the vehicles have slip controllers. Some types of these controllers need the vehicle longitudinal velocity value as an input. The vehicle longitudinal velocity is difficult to measure directly because the vehicle longitudinal velocity could not be directly determined from wheel velocity. When the wheel is driven its velocity is higher than the vehicle longitudinal velocity because of the slip phenomenon. The paper describes method that provides possibility to estimate the vehicle velocity on base of measured wheel velocity. Estimation of the vehicle longitudinal velocity is enabled by Kalman filtration. The method is verified by MatLab simulation using real measured data.
机译:铁路牵引车的重要任务是在任何条件下实现最大的牵引力。为此目的,车辆具有滑动控制器。某些类型的这些控制器需要车辆纵向速度值作为输入。由于车辆纵向速度不能直接从车轮速度确定车辆纵向速度难以直接测量。当车轮驱动时,由于滑动现象,其速度高于车辆纵向速度。本文描述了提供了估计测量轮速度基部的车辆速度的可能性的方法。通过Kalman过滤使车辆纵向速度的估计能够实现。使用实际测量数据通过MATLAB仿真验证该方法。

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