引用本文:胥如迅,马军惠,孟建军,陈晓强,李德仓.考虑节能的城轨列车协同控制优化模型[J].控制理论与应用,2025,42(1):13~21.[点击复制]
XU Ru-xun,MA Jun-hui,MENG Jian-jun,CHEN Xiao-qiang,LI De-cang.Optimization model for coordinated control of urban rail trains considering energy saving[J].Control Theory and Technology,2025,42(1):13~21.[点击复制]
考虑节能的城轨列车协同控制优化模型
Optimization model for coordinated control of urban rail trains considering energy saving
摘要点击 3510  全文点击 45  投稿时间:2022-11-15  修订日期:2024-08-22
查看全文  查看/发表评论  下载PDF阅读器
DOI编号  10.7641/CTA.2023.21009
  2025,42(1):13-21
中文关键词  城轨列车  再生能量  协同控制  节能  工况转换点
英文关键词  urban rail train  regenerative energy  collaborative control  energy saving  transition point of working condition
基金项目  国家自然科学基金项目(72061021, 62063013), 甘肃省科技计划项目(22JR11RA146), 兰州交通大学青年基金项目(2021018)资助.
作者单位E-mail
胥如迅 兰州交通大学 xrx1986@163.com 
马军惠 兰州交通大学  
孟建军* 兰州交通大学 mengjj1966@163.com 
陈晓强 兰州交通大学  
李德仓 兰州交通大学  
中文摘要
      为了提高城轨列车再生能量利用率, 本文提出一种基于节能的协同控制优化方法, 建立以停车精度和准时性为约束条件、以协同时间最长和协同次数最多为优化目标的控制决策模型. 根据列车速度、位移方程, 求出列车 运行工况转换点速度和时刻的解析解; 结合积分变量对停车精度和运行时间的影响, 确定积分变量的取值范围, 将积分变量与列车运行工况转换点关联起来, 设计列车运行工况转换点的优化调节策略, 并计算目标速度曲线; 分析 城轨列车牵引工况和制动工况重叠时间的影响因素, 得到列车一次牵引最大速度对协同时间的影响规律, 设计协同 控制策略, 求解列车二次牵引时刻及对应一次牵引最大速度. 最后, 以国内某条地铁线路为背景设计算例,验证了该模型的有效性.
英文摘要
      To improve the utilization rate of the regenerative energy for urban rail trains, a collaborative control optimization method based on energy conservation is proposed. A control decision model is established, which takes the parking accuracy and punctuality as constraints and takes the longest coordination time and the most coordination times as optimization objectives. According to the running speed and displacement equations of the urban rail train, the analytical solutions of the speed and time at the switching point of the train operation conditions are obtained. Combined with the influence of the integral variable on parking accuracy and running time, the value range of the integral variable is determined. The integral variable is associated with the switching point of the train operation conditions, the optimal regulation strategy of the switching point of the train operation conditions is designed, and the target speed curve is calculated. The influence rule of the maximum speed of train traction on coordination time is obtained by analyzing the influencing factors of the overlapping time of the urban rail train traction and braking conditions. The collaborative control strategy is designed to solve the second traction time of the train and the corresponding maximum speed of the first traction. Finally, the effectiveness of the model was verified by designing an example against the background of a certain subway line in China.