摘要
城轨列车运行环境复杂,模式多变。为准确描述列车的实际运行状态,首先基于实际线路条件建立城轨列车动力学模型和多目标优化模型。然后,基于反三角函数logistic映射的初始化改进策略和基于logistic模型的控制参数自适应策略,提出一种改进自适应差分进化(adaptive differential evolution,ADE)算法求解优化模型,可实现列车安全、准点、精确停车,节能、平稳运行。与传统高斯模型相比,通过采用钟形模型构建新的舒适度指标,能更好地改善舒适度。还针对多站间运行普遍采用固定运行策略的问题,结合专家经验和实际线路条件来自动选择站间运行策略,可缩小算法搜索范围并提高算法求解效率。最后,基于实际线路数据和车辆数据的仿真实验结果表明,所提方法有效降低了运行能耗,改善了乘客舒适性。
The operating environment of urban rail trains is complex and the modes are changeable.In order to accurately describe the actual operating status of the train,firstly,a train dynamics model and a multi-objective optimization model of train operation are established based on the actual line conditions.Then,based on the initialization improvement strategy of inverse trigonometric function logistic mapping and the control parameter adaptive strategy based on logistic model,an improved adaptive differential evolution(ADE)algorithm is proposed to solve the optimization model,which can realize train safety,punctuality,precise stop,energy saving,and stable operation.Compared with the traditional Gaussian model,the bell-shaped model is adopted to construct a new comfort index,which improves passenger comfort.In addition,a fixed operation strategy for multi-station operation is generally adopted,it combines with expert experience and actual line conditions to automatically select an inter-station operation strategy,which can narrow the search range of the algorithm and improve the efficiency of the algorithm.Finally,the results of simulation experiments based on actual route data and vehicle data show that the proposed method effectively reduces operating energy consumption and improves passenger comfort.
作者
周艳丽
鄢苗
杨辉
ZHOU Yanli;YAN Miao;YANG Hui(School of Electrical and Automation,East China Jiaotong University,Nanchang 330013,China;Key Laboratory of Advanced Control and Optimization of Jiangxi Province,East China Jiaotong University,Nanchang 330013,China)
出处
《控制工程》
CSCD
北大核心
2024年第5期778-786,共9页
Control Engineering of China
基金
国家自然科学基金资助项目(U2034211,61733005)
江西省科技计划资助项目(20203AEI009)
江西省教育厅科学技术研究项目(GJJ200608)
江西省青年科学基金重点资助项目(20192ACBL21005)。
关键词
城轨列车
转换工况
多目标优化
自适应差分进化算法
Urban rail trains
conversion conditions
multi-objective optimization
adaptive differential evolution algorithm
