Research on the driving strategy of heavy-haul train based on improved genetic algorithm

被引:16
|
作者
Huang, Youneng [1 ,2 ]
Bai, Shuai [1 ]
Meng, Xianhong [3 ]
Yu, Huazhen [1 ]
Wang, Mingzhu [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing, Peoples R China
[3] Shuo Huang Railway Dev Co Ltd, Suning, Peoples R China
来源
ADVANCES IN MECHANICAL ENGINEERING | 2018年 / 10卷 / 08期
关键词
Heavy-haul train; improved genetic algorithm; driving strategy; simulation modeling; multi-particle model; SPEED; OPERATION;
D O I
10.1177/1687814018791016
中图分类号
O414.1 [热力学];
学科分类号
摘要
The driving safety of heavy-haul train is affected by the train's traction weight, the length of train, the line profile, the line speed limit, and other factors. Generally, when the train is running on a continuously long and steep downgrade line, it needs using the circulating air braking to adjust speed. When it is braking, the brake wave is transmitted non-linearly along the direction of the train. When it is relieved, it must be ensured that there is sufficient time for the train to be inflated. Therefore, it is difficult to ensure the safe operation of the heavy-haul train. In this article, a new method of the train's driving strategy based on improved genetic algorithm is proposed. First, a mathematical model for the operation of heavy-haul train is established with multiple parameters. Then, according to the improved genetic algorithm and the mathematical model of the heavy-haul train, the driving strategy of the chromosome of the train is studied. Finally, the driving curve which can ensure the safe running of the heavy-haul train can be obtained. By comparing the simulated driving curve with the actual one, the results show the effectiveness of the proposed method.
引用
收藏
页数:16
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