摘要
研究机车自动驾驶系统旨在用其替代司机的操纵,在保证列车安全平稳运行前提下,实现列车运行准点、节能等目标。为了支撑机车自动驾驶系统精准的优化控制策略,收集了大量优秀司机的经验操纵数据为系统控车提供科学指导,同时也收集了实际运营线路的特殊区段数据为系统控车提供基础导航依据。为了能够实时将这些数据提供给自动驾驶装置,文章研究并实现了基于列车运行监控记录装置LKJ2000的预存数据处理技术,该技术输出预存数据的正确率为100%,并且已在多个铁路局的机车自动驾驶系统中得到应用和验证。试验结果表明,该技术可为机车自动驾驶系统提供可靠的预存数据,满足实际应用需求。
The locomotive ATO(automatic train operation) system is designed to replace the operation of drivers, which could achieve train running punctuality and energy saving on the premise of ensuring the safe and stable operation of the train. For supporting the precise optimization control strategy of the locomotive automatic train operation system, a large number of outstanding driver’s experience operation data was collected to provide scientific guidance for automatic train control, and at the same time, the data of the special sections of the actual operating lines was collected to provide the basic navigation information for the control system. In order to provide the data to the locomotive ATO device in real time, a pre-stored data processing technology based on the train operation monitoring and recording device LKJ2000 was studied and implemented. The accuracy rate of pre-stored data output was 100%, which had been verified in the locomotive ATO system application of multiple railway companies. This technology can provide reliable pre-stored data for the locomotive ATO system, meeting the needs of actual applications.
作者
李凯
李铁兵
肖家博
刘勇
江帆
宁侨
张家欢
LI Kai;LI Tiebing;XIAO Jiabo;LIU Yong;JIANG Fan;NING Qiao;ZHANG Jiahuan(Zhuzhou CRRC Times Electric Co.,Ltd.,Zhuzhou,Hunan 412001,China)
出处
《机车电传动》
北大核心
2021年第2期108-113,共6页
Electric Drive for Locomotives
