摘要
重联动车组之间利用UIC网关的过程数据编组传输监控数据,数据在重联通信网络上的传输时延影响重联控制的性能。针对这一问题,构建动车组重联网络控制系统简化模型,采用网络时延的自回归AR模型,通过Yule-walker参数自辨识算法根据历史数据对网络时延进行在线预测,同时利用快速隐式广义预测控制IGPC对预测的时延进行补偿。仿真实验结果表明,该方法具有较高的时延预测精度,且对网络时延有较好的补偿效果,可保证良好的控制效果。
UIC gateway uses its function of process data marshalling to transmit control and monitoring data between coupling EMUs.There will be time-delay in the process of monitoring data transmission on the train coupling communication network.The network time-delay can deteriorate the coupling control performance.In order to solve this problem,simplified model of networked control system was established with respect to coupling EMU.The time-delay auto regressive(AR)model was established,and Yule-walker parameter self-identification algorithm was used for time-delay online prediction according to historical data.At the same time,fast implicit generalized prediction control was used for compensating predictive time-delay.Simulation results show that this method has high prediction accuracy,a good effect on time-delay compensation and can ensure the good control effect.
作者
刘洋
李常贤
陈龙
LIU Yang;LI Changxian;CHEN Long(Mordern Railway Transportation Research Institute,Dalian Jiaotong University,Dalian 116028,China;School of EMU Application and Maintenance Engineering,Dalian Jiaotong University,Dalian 116028,China;CRRC Dalian Co.,Ltd,Dalian 116022,China)
出处
《铁道科学与工程学报》
CAS
CSCD
北大核心
2018年第12期3044-3049,共6页
Journal of Railway Science and Engineering
基金
中国铁路总公司科技研究开发计划项目(2015J007-D)
关键词
动车组
重联网络控制
UIC网关
时延预测
隐式广义预测控制
EMU
coupling network control
UIC gateway
time-delay prediction
implicit generalized predictive control
作者简介
通信作者:刘洋(1982-),男,吉林长春人,讲师,博士,从事轨道列车网络控制系统研究;E-mail:liuyang_82@163.com.
