高速列车多质点子空间预测控制方法研究

Research on Spatial Predictive Control Method for Multi-Quality Points of High-Speed Train

针对列车单质点模型在坡道/曲线段受力存在误差,影响高速列车运行控制器的计算精度,建立多质点高速列车运行模型,提出一种基于子空间辨识的预测控制方法。首先,详细分析在坡道/曲线段高速列车考虑其长度的受力情况;接着,利用子空间从列车运行数据辨识模型参数,构建了列车多质点的状态空间模型;然后,具体给出预测控制器的设计步骤;最后,利用MatLab软件进行速度跟踪仿真对比实验,结果表明本文方法的有效性。

A multi-particle high-speed train model was established and a predictive control method based on subspace identification was proposed to solve the problem that the errors of the train single mass model in the ramp/curve segment would affect the calculation accuracy of the high speed train operation controller.Firstly,the force of high-speed train considering its length in ramp/curve section is analyzed in detail.Then,using subspace identification to identify model parameters from train operation data,the multi-particle state space model of train is constructed.Then,the design steps of predictive controller are given in detail.Finally,MatLab software is used for speed tracking simulation and comparison experiment,the results show the effectiveness of the proposed method.