神朔铁路重载列车自适应停车规划研究  

Research on adaptive parking planning of heavy-haul trains on Shenmu-Shuozhou railway

作　　者：贺佳 袁鹏 HE Jia;YUAN Peng(CHN ENERGY Baoshen Railway Group,Baotou,Inner Mongolia 014010,China;Zhuzhou CRRC Time Electric Co.,Ltd.,Zhuzhou,Hunan 412001,China)

机构地区：[1]国家能源集团包神铁路集团公司,内蒙古包头014010 [2]株洲中车时代电气股份有限公司,湖南株洲412001

出　　处：《机车电传动》2025年第1期146-153,共8页Electric Drive for Locomotives

摘　　要：神朔铁路的重载智能驾驶列车在停车场景下规划运行曲线时,一方面由于重载列车自身固有特性导致列车操纵困难,另一方面列车运行线路环境复杂,两者共同作用提高了运行曲线规划难度。为了满足神朔铁路以安全、精准为导向的重载列车停车规划需求,文章首先根据线路特点和操纵需求,建立重载列车纵向动力学模型,引入相关约束;其次将规划过程分为空气制动阶段与非空气制动阶段,并根据各阶段的特性分别制定了规划策略;然后结合工程实际情况提出评价指标,并利用自适应权重调整策略提高算法对不同停车场景的适应性,同时制定了精细化调整策略进一步降低规划误差;最后采用半实物仿真平台在3个典型区段上对算法进行测试验证。验证结果显示,文章所提出算法在符合安全约束的前提下,平均停车规划误差为1.31 m,证明了该算法的有效性,表明该算法具有良好的实际工程应用价值。Planning operation curves in parking scenarios for heavy-haul trains equipped with intelligent driving features on the Shenmu-Shuozhou railway faces two primary challenges:maneuvering difficulties stemming from the inherent characteristics of heavyhaul trains and the complexity of the track environments.These factors combine to significantly complicate the planning of operation curves.This paper presents an algorithm designed to address the safety and precision-oriented parking planning requirements for heavyhaul trains on the Shenmu-Shuozhou railway.First,a longitudinal dynamic model was established based on the track characteristics and maneuvering requirements,incorporating relevant constraints.Second,the planning process was divided into air braking and non-air braking stages,with planning strategies formulated according to their respective characteristics.Subsequently,evaluation indicators were proposed,taking into account actual engineering conditions,and an adaptive weight adjustment strategy was employed to enhance the algorithm's adaptability to various parking scenarios.Additionally,a refined adjustment strategy was developed to further reduce planning errors.Finally,a hardware-in-the-loop simulation platform was utilized to test and verify the proposed algorithm in three typical sections.The verification results show that the proposed algorithm achieves an average parking planning error of 1.31 meters while meeting the safety constraints,demonstrating the algorithm’s effectiveness and highlighting its value in practical engineering applications.

关 键 词：神朔铁路 重载列车 停车规划 运行曲线优化 自适应算法 

分 类 号：U292.921[交通运输工程—交通运输规划与管理]