Precise Train Stopping Algorithm Based on Deceleration Control

Mengling Wu, Chao Chen, Chun Tian, Jiajun Zhou
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Abstract

Precise train stopping is a key technology in train brake control systems. The traditional control research is based on the speed curve following, and this paper proposes a strategy based on the deceleration curve following. After establishing the theory simulation model, this paper designs the ideal curve of target deceleration. In order to follow curve well, the train kinematics model is linearized and an adaptive control algorithm is designed. The simulation analysis shows that the algorithm can guarantee the stopping accuracy and ensure the gentle change of the deceleration. It also shows that the control idea based on the deceleration curve is feasible and has unique advantages, which provides a direction for the subsequent algorithm research.
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基于减速控制的列车精确停车算法
列车精确停车是列车制动控制系统的关键技术。传统的控制研究是基于速度曲线跟随,本文提出了一种基于减速曲线跟随的控制策略。在建立理论仿真模型的基础上,设计了理想的目标减速曲线。为了更好地跟踪曲线,对列车的运动模型进行了线性化,并设计了自适应控制算法。仿真分析表明,该算法既能保证停车精度,又能保证减速量的平缓变化。同时也说明了基于减速曲线的控制思路是可行的,具有独特的优势,为后续的算法研究提供了方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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