摘要
高速列车运行环境复杂多变,现有的给定运行速度目标曲线主要考虑列车运行的安全性和正点性,难以改善列车的其他运行性能。为了满足高速列车日益增加的行车需求,并改善列车的运行性能,针对安全、节能、正点及舒适多个目标,考虑轮轨间最优黏着,提出一种改进的多目标运行速度优化方法。首先,在满足区间限速以及列车动力学模型约束的前提下,建立安全、节能、正点、舒适4个评价指标,构成高速列车运行过程多目标优化模型;其次,在节能模型中考虑轮轨间黏着的影响,优化牵引/制动力使得其保持在最优黏着范围内,节约运行能耗;最后,采用基于参考点的非支配排序的优化算法(NSGA-Ⅲ)对多目标运行速度曲线进行优化。对真实线路的仿真验证表明,本文提出的考虑轮轨黏着的优化效果显著提高,尤其在节能方面;优化算法相较于GA和NSGA-Ⅱ,NSGA-Ⅲ算法在收敛效果和收敛速度上均为更优。
The operation environment of high-speed trains is complex and changeable.The existing target curve of given operation speed mainly considers the safety and punctuality of train operation,which is difficult to improve other operation performance of trains.In order to meet the increasing traffic demand of high-speed trains and improve the running performance of trains,this paper proposes an improved multi-objective speed optimization method for safety,energy saving,punctuality and comfort,considering the optimal adhesion between wheels and rails.First of all,on the premise of meeting the restriction of interval speed limit and train dynamics model,four evaluation indexes of safety,energy saving,punctuality and comfort are established to form a multi-objective optimization model of high-speed train operation process;Secondly,the influence of adhesion between wheel and rail is considered in the energy-saving model,and the traction/braking force is optimized to keep it within the optimal adhesion range,so as to save operating energy consumption;Finally,optimization of multi-objective operating speed curve uses reference point based non dominated sorting optimization algorithm(NSGA-Ⅲ).The simulation results of real lines show that the optimization effect considering wheel rail adhesion is significantly improved,especially in energy saving;Compared with GA and NSGA-Ⅱ,the NSGA-Ⅲalgorithm has better convergence effect and convergence speed.
作者
付雅婷
朱宏涛
Fu Yating;Zhu Hongtao(School of Electrical&Automation Engineering,East China Jiaotong University,Nanchang 330013,China;Jiangxi Key Laboratory for Advanced Control and Optimization,East China Jiaotong University,Nanchang 330013,China;State Key Laboratory for Performance Monitoring and Guarantee of Rail Transit Infrastructure,East China Jiaotong University,Nanchang 330013,China)
出处
《华东交通大学学报》
2023年第5期59-67,共9页
Journal of East China Jiaotong University
基金
国家自然科学基金项目(U2034211,52162048,62003138)
江西省科技专项(20203AEI009)
江西省青年科学基金重点项目(20192ACBL21005)
流程工业综合自动化国家重点实验室联合基金项目(2022-KF-21-03)。
关键词
高速列车
多目标优化
黏着
NSGA-Ⅲ
high speed train
multi-objective optimization
adhesion
NSGA-Ⅲ
