基于ATO跟踪控制策略的列车速度曲线优化

Tang Licheng, T. Tao, Xun Jing, Suo Shuai, Liu Tong
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引用次数: 5

摘要

如何降低城市轨道交通系统的能耗一直是人们关注的焦点。列车自动运行系统通过自动控制列车运行速度,实现列车在连续站点之间的运行,对列车节能运行具有重要意义。传统的ATO推荐速度曲线优化研究是基于线路信息、列车信息和控制目标生成最优推荐速度曲线,没有考虑ATO跟踪控制策略对实际驾驶策略的影响。本文将推荐的速度曲线优化和ATO跟踪控制策略结合起来进行研究。在利用动态规划优化列车推荐速度曲线的基础上,提出了一种基于现有ATO跟踪控制策略的推荐速度曲线优化方法。该方法能在运行时间可接受的条件下有效降低能耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of train speed curve based on ATO tracking control strategy
How to reduce the energy consumption of urban rail transit system is always the focus of attention. The automatic train operation(ATO) system operates trains between successive stations by controlling the speed automatically, which is very important for the train energy saving operation. The traditional ATO recommended speed curve optimization research is based on line information, train information and control objectives to generate the optimal recommended speed curve, which does not take the influence ATO tracking control strategy taken on the practical driving strategy into account. In this paper, the recommended speed curve optimization and ATO tracking control strategy are considered together. On the basis of using the dynamic programming to optimize the recommended speed curve of the train, a method based on the existing ATO tracking control strategy for the recommended speed curve optimization is given. The method can effectively reduce the energy consumption under the condition that the running time is acceptable.
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