基于无气味卡尔曼滤波的机车滑差控制速度估计

P. Pichlík, J. Zdenek
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引用次数: 3

摘要

列车速度在许多方面都是需要知道的,比如列车安全系统或滑移控制。列车速度通常由轮对速度决定。轮对速度与列车速度不同,这是由于车轮和轨道之间的力传递所需要的滑移速度。用这种方法测得的列车速度是对列车速度的唯一估计。如果列车速度需要用于滑移控制,则必须以尽可能小的延迟知道实际速度。为此,提出了一种基于无气味卡尔曼滤波的新方法。分析了车轮速度与列车速度之间的非线性关系。仿真结果基于实测数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Locomotive velocity estimation for a slip control purpose by an unscented Kalman filter
The train velocity is needed to be known for many purposes like the train safety systems or a slip control. The train velocity is typically determined from wheelsets velocity. The wheelset velocity is different with the train velocity due to a slip velocity that is needed for a force transmission between wheels and rails. The train velocity measured by this way is the only estimation of the train velocity. If the train velocity is needed for a slip control, the actual velocity has to be known with the smallest possible delay. For the purpose, a novel method based on the unscented Kalman filter is presented. Nonlinearity between the wheel velocity and the train velocity is analytically derived. The simulation results are based on the measured data.
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