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横风下基于滚动GAPSO算法的列车速度曲线优化

申一非 祁文哲 李德仓 陈晓强

铁道标准设计2024,Vol.68Issue(3):21-28,8.
铁道标准设计2024,Vol.68Issue(3):21-28,8.DOI:10.13238/j.issn.1004-2954.202209070003

横风下基于滚动GAPSO算法的列车速度曲线优化

Optimization of Train Speed Curve Based on Rolling GAPSO Algorithm in Cross Wind

申一非 1祁文哲 2李德仓 3陈晓强4

作者信息

  • 1. 兰州交通大学机电技术研究所,兰州 730070
  • 2. 兰州交通大学机电工程学院,兰州 730070||甘肃省物流与运输装备行业技术中心,兰州 730070||甘肃省物流及运输装备信息化工程技术研究中心,兰州 730070
  • 3. 兰州交通大学机电技术研究所,兰州 730070||甘肃省物流与运输装备行业技术中心,兰州 730070||甘肃省物流及运输装备信息化工程技术研究中心,兰州 730070
  • 4. 兰州交通大学机电技术研究所,兰州 730070||兰州交通大学机电工程学院,兰州 730070||甘肃省物流与运输装备行业技术中心,兰州 730070||甘肃省物流及运输装备信息化工程技术研究中心,兰州 730070
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摘要

Abstract

Aiming at the problem that the target speed curve optimization algorithm of high-speed train is not suitable for the cross-wind environment in ordinary environment,a train speed curve optimization method based on rolling GAPSO(genetic particle swarm optimization)algorithm in cross-wind environment is proposed.Firstly,the train dynamics model is improved by considering the cross-wind wind resistance,and the multi-objective optimization model of train operation is established.Secondly,based on the GAPSO algorithm,the optimal target speed curve of the train in the initial stage is constructed,and the rolling optimization framework is introduced to adjust the target speed curve in real time,and the train runs according to the improved fast speed strategy in the cross-wind speed limit area.Finally,GAPSO algorithm is used to find the optimal idling point to generate the target velocity curve before the train enters the station.The simulation results show that GAPSO algorithm has the advantages of strong searching ability and fast convergence speed compared with GA algorithm and PSO algorithm.The rolling GAPSO algorithm can generate the optimized target velocity curve in real time under different cross-wind environments,and has better energy saving and punctuality than the improved fast travel strategy and RH-PSO algorithm.The optimization of train target speed curve based on rolling GAPSO algorithm under cross-wind can provide a feasible solution for train energy saving and on-time operation under cross-wind environment.

关键词

智能交通/目标速度曲线/优化方案/滚动GAPSO算法/横风环境

Key words

intelligent transportation/target velocity curve/optimization scheme/rolling GAPSO algorithm/crosswind environment

分类

交通工程

引用本文复制引用

申一非,祁文哲,李德仓,陈晓强..横风下基于滚动GAPSO算法的列车速度曲线优化[J].铁道标准设计,2024,68(3):21-28,8.

基金项目

国家自然科学基金项目(72061021) (72061021)

甘肃省自然科学基金项目(21JR7RA284) (21JR7RA284)

兰州交通大学校青年基金项目(2021018) (2021018)

铁道标准设计

OA北大核心

1004-2954

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