基于AGA算法的列车驾驶控制参数优化方法研究

Research on Optimization Method of Driving Control Parameters of Train Based on AGA Algorithm

为了减少高速列车驾驶过程中追踪目标曲线的误差,提升列车在实际现场应用中的控制性能,设计一种基于AGA算法的高速列车控制参数计算方法,以求解列车在区间运行时最优的控制器参数。首先以铁路现场实际的线路信息和列车实际运行数据为基础,通过模型辨识的方法建立列车在S域内的二阶函数模型。其次以传递函数为基础建立列车的运行仿真模型,以ITAE值作为优化方向设计了AGA算法。最后结合北京至沈阳高铁区间列车运行的现场数据,仿真计算列车在驾驶过程中控制参数的最优解。通过与模糊控制器对比,表明提出的方法具有更小的误差,更高的跟踪精度。

In order to reduce the error of tracking the target curve in the process of high-speed train driving and advance the control performance in the actual field application,a high-speed train controller based on AGA algorithm was designed to solve the optimal controller parameters when the train runs in the front section.Firstly,the second-order function model of the train in S domain was established by the method of model identification based on the actual train operation data and line data.Secondly,the train simulation model was established based on the second-order function model,and the AGA algorithm was designed with ITAE index as the optimization performance index.Finally,combined with the field data of the train operation between Beijing and Shenyang high-speed railway,the optimal solution of the control parameters of the train during driving was calculated.By comparing with the fuzzy controller,it is shown that the method proposed in this paper has a smaller error and higher tracking accuracy.