基于最优预见控制的高速列车速度控制器研究

针对高速列车自动驾驶(ATO)速度控制器的设计及性能问题,以列车运行过程中的安全性、舒适性、控制输入为约束条件,提出用最优预见算法设计控制器。该算法以列车动力学为基础,确定列车模型传递函数,进行极点配置之后使控制系统稳定;以列车模型为该算法的控制对象,将列车运行过程中的线路附加阻力和基本阻力作为干扰,实现列车ATO模式下目标速度的自动跟踪控制。选取京津城际北京南站至武清站间线路数据进行仿真验证,仿真结果表明该算法在降低列车运行能耗、提高旅客舒适性与列车运行准点率方面的有效性。

Research on Speed Controller of High Speed Train Based on Optimal Preview Control

A new controller that satisfies the constraints of safety,comfort and control input process of train operation with the optimal preview algorithm is proposed to solve the design and performance problems of speed controller of high-speed automatic train operation(ATO).Based on the train dynamics,this algorithm determines the train model transfer function,and makes the control system stable after the pole configuration.Regarding train model as a control object of this algorithm,the line and the additional resistance are used as basic resistance interference during the train running,the automatic tracking control of target speed in the train ATO mode is realized.The line data of Beijing South Railway Station to Wuqing Railway Station were simulated and verified.The simulation results show that the algorithm is effective in reducing train operation energy consum-ption,improving passenger comfort and punctuality of train operation.