包神铁路重载列车自动驾驶平稳控制研究  

Research on Stability Optimization for Automatic Train Operation of Heavy-haul Trains of Baoshen Railway

作　　者：付上源 FU Shangyuan(Locomotive Application Business Branch of CHN Energy Baoshen Railway Group Co.,Ltd.,Yulin,Shaanxi 719300,China)

机构地区：[1]国能包神铁路集团有限责任公司机务分公司,陕西榆林719300

出　　处：《控制与信息技术》2024年第2期63-71,共9页CONTROL AND INFORMATION TECHNOLOGY

摘　　要：包神铁路集团神朔铁路线路复杂且采用集中式牵引万吨编组的重载货运列车运行模式。随着自动驾驶系统的应用,列车运行过程中由于牵引力频繁调节导致列车冲动的问题越来越凸显,这对列车自动驾驶系统的平稳操纵提出了更高要求。针对神朔铁路线路情况和运营需求,文章提出一种基于列车状态动态评价模型的优化控制算法,其建立了重载列车多质点模型和列车状态评价模型,以评估列车状态发展趋势,并对级位加减载斜率进行约束。采用该算法进行线路试验,在启车阶段,优化算法能够有效提升大坡道启车过程的平稳性,且启车更快,速度提升约11.1%;在巡航阶段,有效抑制了分相前后列车的冲动,列车运行速度提升约0.9%,仿真模拟列车车钩力变化趋势,其与牵引加载情况基本一致,机车与货车连挂处车钩力最大值降低约26.3%;在停车阶段,列车加速度最大幅值降低71.4%,平均冲动次数降低60%。试验结果表明,采用所提算法可以有效提升集中牵引的万吨重载货运列车自动驾驶运行的平稳性。The Shenmu-Shuozhou Railway of Shenhua Baoshen Railway Group Co.,Ltd.operates 10,000t heavy-haul trains using centralized traction on intricate railway conditions.The application of the automatic train operation(ATO)mode has accentuated train impulse issues arising from frequent traction adjustments during train operation,underscoring the need for enhanced stability of ATO.This paper presents an optimization control algorithm based on a dynamic evaluation model of train states,tailored to the specific conditions and operational requirements of the Shenmu-Shuozhou Railway.This algorithm features a multi-particle model and a train state evaluation model for heavy-haul trains,evaluating the development trend of train states while incorporating constraints related to the loading/unloading slope in levels.The proposed algorithm was applied in an experiment on the Shenmu-Shuozhou Railway.During the departing stage,the optimization algorithm effectively improved operational stability on steep grades,and increased the departing speed by about 11.1%.During the cruising stage,train impulses was effectively suppressed pre and post neutral-zone crossings,and the train running speed increased by about 0.9%.Moreover,the trend of simulated coupling force changes aligned closely with actual traction loading,and the maximum locomotive-wagon coupling force was reduced by about 26.3%.During the parking stage,the maximum amplitude of train acceleration decreased by 71.4%,and the average impulse count decreased by 60%.The experimental results demonstrate the effectiveness of the proposed algorithm in improving the ATO stability for 10,000t heavy-haul trains operating under centralized traction.

关 键 词：重载列车 纵向动力学 状态评价 自动驾驶 平稳操纵 

分 类 号：U264.91[机械工程—车辆工程]