动车组重联网络控制系统时延预测及补偿
Time-delay prediction and compensation of EMU coupling network control system

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