引用本文:杨辉,刘盼,李中奇.基于Elman模型的高速列车速度跟踪控制[J].控制理论与应用,2017,34(1):125~130.[点击复制]
YANG Hui,LIU Pan,LI Zhong-qi.Speed tracking control for high-speed train with an Elman model[J].Control Theory and Technology,2017,34(1):125~130.[点击复制]
基于Elman模型的高速列车速度跟踪控制
Speed tracking control for high-speed train with an Elman model
摘要点击 3177  全文点击 1187  投稿时间：2015-11-28  修订日期：2017-01-08
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DOI编号  10.7641/CTA.2017.50946
  2017,34(1):125-130
中文关键词  高速列车  系统辨识  广义预测控制  Elman神经网络  数据驱动
英文关键词  high-speed train  system identification  generalized predictive control  Elman neural network  data-driven
基金项目  国家自然科学基金项目(61673172, 61663013, U1334211), 流程工业综合自动化国家重点实验室开放课题(PAL–N201501)资助.
作者单位邮编
杨辉* 华东交通大学 电气与电子工程学院 330013
刘盼 华东交通大学 电气与电子工程学院 330013
李中奇 华东交通大学 电气与电子工程学院 
中文摘要
      高速列车运行速度快, 运行过程复杂, 具有较强的非线性, 难以实现高精度速度跟踪控制. 为了实现高速列 车的安全可靠运行, 本文研究提出高速列车的运行过程建模和速度跟踪控制方法, 采用数据驱动建模方法建立了高 速列车运行过程Elman模型, 设计了改进型广义预测控制实现了高速列车速度跟踪控制. 基于CRH380AL运行过程 数据的仿真结果表明, 该方法具有更高的跟踪控制精度和较强的鲁棒性, 可实现高速列车安全、正点运行. 关键词: 高速列车; 系统辨识; 广义预测控制; Elman神经网络; 数据驱动
英文摘要
      High-speed trains have high running speed, complex operation process and strong nonlinearity, which make difficulty for their high-precision modeling and control. To guarantee the safety of the high-speed trains’ running process, this paper presents a modeling method and a speed tracking control scheme for their running process. A method of datadriven modeling is employed to establish the Elman model for the running process of the high-speed train, and a modified generalized predictive control algorithm is used to develop a speed tracking controller to realize the speed tracking. The simulation results based on the CRH380AL operation process data indicate that the method presented in the paper can realize the safe and accurate running of high-speed trains, and the method makes higher precision and higher robustness.