摘要
针对磁浮列车紧密追踪场景中单列车优化目标与编组全局目标冲突、动态扰动下单一速度曲线鲁棒性不足等问题,提出一种基于运行曲线区间优化的分层协同控制方法。首先,构建融合安全约束与多目标优化的参考速度区间生成模型,实现编组列车速度边界的协同规划。然后,设计分层协同控制架构,上层基于混合整数规划求解多目标优化问题,下层采用改进型分布式模型预测控制(Optimized Distributed Model Predicitive Control,ODMPC),引入区间松弛因子与动态权重机制,实现参考轨迹的高精度跟踪。最后,基于中低速磁浮实际线路数据的仿真实验得出,该方法在追踪效率、舒适度与能耗等核心指标上显著优于传统粒子群优化算法(Particle Swarm Optimization,PSO)与DMPC方法,其中追踪精度指标提升37%,乘坐舒适度指标提升38%,能耗降低5.2%~8.7%。此研究结果可为复杂电磁环境下磁浮列车编组协同控制提供理论支持与工程实践参考。
To address the challenges of conflict between individual train optimization objectives and group-wide goals in close-headway maglev train operations,and the insufficient robustness of single velocity profiles under dynamic disturbances,this study proposes a hierarchical cooperative control method based on operational trajectory interval optimization.First,a reference velocity interval generation model integrating safety constraints and multi-objective optimization is established,enabling collaborative planning of velocity boundaries for train formations.Subsequently,a hierarchical cooperative control architecture is designed,where the upper layer employs mixed-integer programming to solve multi-objective optimization problems;the lower layer implements an Optimized Distributed Model Predictive Control(ODMPC)scheme,incorporating interval relaxation factors and a dynamic weighting mechanism to achieve high-precision tracking of reference trajectories.Simulation experiments based on actual medium-low-speed maglev line data demonstrate that the proposed method significantly outperforms conventional Particle Swarm Optimization(PSO)and standard DMPC approaches across core performance metrics,with tracking accuracy improvement of 37%,ride comfort enhancement of 38%,energy consumption reduction of 5.2%–8.7%.These findings provide theoretical foundations and engineering references for cooperative control of maglev train formations in complex electromagnetic environments.
作者
刘鸿恩
胡志豪
崔俊锋
贾云光
杨明春
熊光华
王琦
Liu Hongen;Hu Zhihao;Cui Junfeng;Jia Yunguang;Yang Mingchun;Xiong Guanghua;Wang Qi(Institute of Permanent Magnetic Levitation Technology and Rail Transportation,Jiangxi University of Science and Technology,Ganzhou 341000,China;CRSC Research&Design Institute Group Co.,Ltd.,Beijing 100070,China;Engineering Research Center of Railway Industry of Intelligent and Autonomous Train Control,Beijing 100070,China)
出处
《铁路通信信号工程技术》
2025年第7期1-9,共9页
Railway Signalling & Communication Engineering
基金
国家自然科学基金项目(62463011)
国家重点研发计划项目子课题(2023YFB4302104-2)
江西省自然科学基金项目(20224BAB202025)。
关键词
磁浮列车
追踪运行
速度区间优化
分层协同控制
maglev train
tracking operation
speed interval optimization
hierarchical cooperative control
