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Railway Traction Vehicle Longitudinal Velocity Estimation by Kalman Filter

机译:卡尔曼滤波在铁路牵引车纵向速度估计中的应用。

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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:铁路牵引车辆的重要任务是在需要时在任何条件下都获得最大的牵引力。为此,车辆具有打滑控制器。这些控制器中的某些类型需要车辆纵向速度值作为输入。车辆纵向速度难以直接测量,因为不能从车轮速度直接确定车辆纵向速度。当驱动车轮时,由于打滑现象,其速度高于车辆纵向速度。本文介绍了一种方法,该方法提供了根据测得的车轮速度估算车速的可能性。车辆纵向速度的估计通过卡尔曼滤波实现。该方法已通过MatLab仿真使用实际测量数据进行了验证。

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