基于动态间隔时间的列车追踪策略研究

Research on train tracking strategy based on dynamic interval

基于追踪控制的实时性需求,提出列车追踪动态间隔时间指标,并对列车追踪运行时该指标的变化情况进行分析。根据分析结果提出一种在满足列车间实时通信的情况下,对追踪运行的2列车进行整体考虑的列车追踪方案。该方案先通过改变追踪策略,达到在追踪列车减速进限速区的过程中,间隔距离减小的同时后车速度也逐渐减小,减缓追踪间隔时间实时的变化情况,从而增大最小追踪动态间隔时间,降低列车追踪运行的安全风险;在保证安全运行的前提下,通过适当减小图定追踪间隔时间,提高效率。针对该运行方案,进一步设计模糊决策预测控制的分层控制器进行仿真,仿真结果与理论分析一致,达到预期目的。

Considering the demand for real-time tracking control,this paper proposed a dynamic tracking interval index.The change of this index was analyzed during the train operation,especially in the case that trains pass through the temporary speed restriction zone.A control scheme was proposed for tracking train in the situation of real-time communication between the trains.First,by changing the tracking strategy,the minimum dynamic tracking interval was increased to improve the safety of train tracking.Then,on the premise of guaranteeing safety,the existing given tracking interval time was reduced to enhance efficiency.At last,a fuzzy predictive hierarchical controller was designed for the scheme,and the simulation shows that the result accords with the theory.