科技创新与应用2025，Vol.15Issue(5)：22-26,5.DOI:10.19981/j.CN23-1581/G3.2025.05.005
改进模型预测控制的列车自组网运行控制
摘要
Abstract
The self-organizing network of heavy-haul train is a new intelligent management system,which can realize real-time information interaction and cooperative movement of trains.With the development of long train formation and heavy load,new requirements are put forward for the self-organizing network of heavy-haul trains.This paper presents a train self-organizing network operation control strategy based on improved model predictive control.Firstly,the single-train and multi-train motion models of the self-organizing network system are established.The multi-train motion model takes three cars as an example.Secondly,a multi-train cooperative control based on model predictive control is designed to achieve high efficiency and safety of multi-train operation,and the control effect is improved by optimizing the prediction time domain of model predictive control.Finally,simulation experiments verify the effectiveness of the proposed scheme in acceleration,deceleration and different prediction time domains.The results show the superiority of the proposed control effect and the optimal control effect can be achieved while ensuring the operational performance.关键词
重载组合列车/自组织网络/模型预测控制/优化预测时域/运行安全Key words
heavy-haul combination train/self-organizing networks/model predictive control/optimized predictive time domain/operation safety分类
交通工程引用本文复制引用
宋宗莹,杨迎泽,王兴中,于晓泉,李烁,武悦,胡超..改进模型预测控制的列车自组网运行控制[J].科技创新与应用,2025,15(5):22-26,5.基金项目
国家自然科学基金项目(62177046) （62177046）
