基于限速预测的一点式列车自动驾驶速度规划

One-point Method for Speed Strategy Optimization Based on Slope Simplification and Speed Limit Prediction

针对列车节能操纵问题求解的复杂性,以及列车运行过程的节能问题,基于坡道区间化简原则和区间限速规定,提出了一种化简坡道区间内仅需一种状态转换点的列车自动驾驶速度规划方案,降低了节能运行问题求解的复杂性。通过改进适应度函数的遗传算法求解列车状态转换点的位置,实现了列车节能操纵策略。通过和谐电3列车载货2800 t在滨洲线某段33.7km线路进行仿真与实际运行对比,结果表明在满足规定运行时间的条件下,该方法的理论计算能耗与实际运行的能耗相比,节约了15.2%,验证了基于该方法实现节能的可行性。

Aiming at solving the problem of energy-saving operation of trains and energy-saving problems in the process of train operation,a train automatic driving speed planning scheme with only one operation state transition point in the simplified slope section is proposed based on slope simplification principle and speed limit regulation on an interval line,which reduces the control complexity and energy consumption for automatic driving.An improved fitness function of a genetic algorithm(GA)is explored to solve an operation state transition point position of the train,then train energy-saving operation strategy is presented.Practical energy costing experiment for freight train(HXD3)with 2,800 tons for a 33.7km line on the Bin-Zhou railway line is obtained and compared with the proposed algorithm.Results show that energy consumption is saved 15.2%for the speed strategy from the proposed method.So operation strategy is simplified greatly because of only one state transition point in a simplified interval,which is more suitable for automatic driving.On the other hand,one point operation strategy is also more energy efficient than manual manipulation.Therefore the proposed method provides a simple and efficient control strategy for train automatic driving.