基于CANopen的列车通信网络状态反馈控制系统设计

Design of Train Communication Network State Feedback Control System Based on CANopen

摘要:

列车通信网络负载过大,会导致数据传输延迟或丢失,进而影响系统的反馈控制效率和准确性。为了保证列车通信网络的安全性,设计基于CANopen的列车通信网络状态反馈控制系统。加设CANopen网关设备,改装列车通信网络数据采集器和网络状态反馈控制器,调整反馈控制器驱动电路的连接方式,完成系统硬件的优化。设置CANopen作为列车通信网络的通信协议,采用报文捕获的方式采集列车通信网络实时状态数据,通过网络状态特征的提取与匹配,确定当前列车通信网络状态。从缓存长度、负载、时延等方面,计算列车通信网络的控制量,通过公平分配列车通信网络信道、列车通信网络拥塞调度控制两个步骤,实现系统的列车通信网络状态反馈控制功能。实验结果表明,在铁路列车和公路列车通信网络环境下,负载控制误差平均值分别为0.6Mbps和0.8Mbps,在所提方法控制下,通信网络的缓存队列长度平均为10Mbps,由此证明优化设计方法在控制功能和控制效果方面具有明显优势。

Abstract:

Excessive load on the train communication network can lead to delayed or lost data transmission, which in turn affects the efficiency and accuracy of the feedback control system. To ensure the security of the train communication network, a CANopen based train communication network state feedback control system is designed. Install CANopen gateway equipment, modify train communication network data collector and network state feedback controller, adjust the connection method of feedback controller driver circuit, and complete hardware system optimization. Set CANopen as the communication protocol for the train communication network, collect real-time status data of the train communication network through message capture, and determine the current train communication network status through the extraction and matching of network status features. Calculate the control amount of the train communication network from the aspects of cache length, load, delay, etc., and achieve the train communication network state feedback control function of the system through two steps: fair allocation of train communication network channels and congestion scheduling control of the train communication network. The experimental results show that in the communication network environment of railway trains and highway trains, the average load control errors are 0.6Mbps and 0.8Mbps, respectively. Under the control of the proposed method, the average cache queue length of the communication network is 10Mbps, which proves that the optimization design method has significant advantages in control function and control effect.