基于分布式预测控制的地铁列车运行调整  

Subway Operation Adjustment Based on Distributed Model Predictive Control

作　　者：李伟[1] 王猛 Li Wei;Wang Meng(Shijiazhuang Institute of Railway Technology,Shijiazhuang,Hebei 050041;Shijiazhuang Science and Technology Cadre Education College,Shijiazhuang,Hebei 050041,China)

机构地区：[1]石家庄铁路职业技术学院,河北石家庄050041 [2]石家庄科技干部教育学院,河北石家庄050041

出　　处：《石家庄铁路职业技术学院学报》2023年第3期43-47,共5页Journal of Shijiazhuang Institute of Railway Technology

基　　金：2023年河北省教育厅河北省高等学校科学研究项目“基于分布式预测控制的城市轨道交通列车运行调整与节能优化”(课题批准号:ZC2023086);河北省教科所“十三五”规划课题:“基于现代学徒制人才培养模式的慕课教学设计研究(1703180)”。

摘　　要：列车运行调整在城市轨道交通中起着重要作用,但现有的列车运行调整研究大多数是基于集中控制的。随着列车的快速发展和实时控制的需求,使用列车控制(VBTC)技术,本文研究了基于分布式模型预测控制(DMPC)的列车调度问题。首先给出地铁环线列车运行调整框架,假设每列车都是自组织的,并且和前车都能通信;接着建立基于DMPC列车运行调整优化问题,并设计相应的算法;随后通过仿真实验对所提方法的有效进行了验证,实验表明该方法与集中式控制方法相比,计算成本显著降低。Train operation adjustment plays an important role in urban metro transportation,but most of the existing studies on train regulation are based on centralized control.Motivated by the real-time control demand and the rapid development of vehicle based train control(VBTC)technology,this paper investigates the train dispatching problem by employing distributed model predictive control(DMPC).We firstly presented a distributed control framework for train regulation in metro loop lines,assuming that each train is self-organized with the capability of computation and communication with the preceding train.Then we established a DMPC algorithm for train operation adjustment in metro loop lines,in which each train decides its control input by optimizing a local cost function subject to operational constraints.We finally provided numerical examples to verify the effectiveness of the proposed DMPC method,showing that it exhibits comparable performance with the centralized MPC and its computation cost is significantly reduced.

关 键 词：列车运行调整 分布式模型预测控制 地铁环线 运行约束 干扰 

分 类 号：U231.92[交通运输工程—道路与铁道工程]