一种高速列车群组协同追踪控制方法、装置、设备及介质

By using a multi-mass model at the carriage level and a distributed model for predictive control, collaborative tracking control of high-speed train groups was achieved, solving the problems of insufficient train group operating density and safety, and improving operating efficiency and safety.

CN120552936BActive Publication Date: 2026-07-17EAST CHINA JIAOTONG UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
EAST CHINA JIAOTONG UNIVERSITY
Filing Date
2025-06-23
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies make it difficult to achieve coordinated tracking and control of high-speed train groups in a train communication environment, resulting in insufficient operational density and safety.

Method used

A multi-mass model of high-speed trains at the carriage level is adopted, combined with a distributed model predictive control method. Through train-to-train communication and information from the ground control system, tasks are assigned to the model predictive controller of each train, and the cooperative control strategy is calculated and updated to ensure speed consistency and minimum safe distance.

Benefits of technology

This has increased the operating density and transportation efficiency of high-speed train groups, while ensuring the safety and stability of train operations.

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Abstract

本申请公开了一种高速列车群组协同追踪控制方法、装置、设备及介质,涉及铁路运输技术和高速列车追踪控制领域,该方法包括:基于车厢级的高速列车多质点模型、控制约束和控制目标,建立分布式模型预测控制的状态变量约束集和控制变量约束集以及高速列车群协同追踪控制问题的优化问题模型;基于分布式模型预测控制方法将高速列车群协同追踪控制的任务分配到每个列车的模型预测控制器,基于地面控制系统所发送信息和邻接列车运行状态信息,对优化问题模型进行求解,按周期计算更新协同控制策略,本申请实现车车通信下的高速列车群组协同运行,提高了高速列车的运行密度和运输效率,同时保证列车运行的安全性和稳定性。
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