引用本文:李中奇,孙鹏昕,杨辉,周靓.重载列车离散积分终端滑模预测控制[J].控制理论与应用,2025,42(2):235~244.[点击复制]
LI Zhong-qi,SUN Peng-xin,YANG Hui,ZHOU Liang.Discrete integral terminal sliding mode predictive control for heavy haul train[J].Control Theory and Technology,2025,42(2):235~244.[点击复制]
重载列车离散积分终端滑模预测控制
Discrete integral terminal sliding mode predictive control for heavy haul train
摘要点击 3689  全文点击 39  投稿时间：2023-10-27  修订日期：2024-11-08
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DOI编号  10.7641/CTA.2024.30700
  2025,42(2):235-244
中文关键词  重载列车  离散积分终端滑模控制  模型预测控制  自适应控制  速度跟踪
英文关键词  heavy haul trains  discrete integral terminal sliding mode control  model predictive control  adaptive control  speed tracking
基金项目  国家自然科学基金项目(61991404, 52162048, 62003138), 国家重点研发计划重点专项项目(2020YFB1713703), 江西省主要学科学术和技术带头 人培养计划项目(20213BCJ22002)资助.
作者单位E-mail
李中奇* 华东交通大学 lzq0828@163.com 
孙鹏昕 华东交通大学  
杨辉 华东交通大学  
周靓 华东交通大学  
中文摘要
      针对重载列车运行环境复杂多变导致的传统控制方法跟踪误差较大的问题, 提出了一种新型的离散积分终端滑模预测控制方案, 该方案设计了一种基于自适应切换控制的离散积分终端滑模控制律, 为提高重载列车系统跟踪精度, 将模型预测控制与离散积分终端滑模控制相结合并推导出离散积分终端滑模预测控制方案. 并且还对重载列车多输入多输出系统的未知扰动、系统离散化误差进行了延时估计, 进一步提升了模型的精度和算法的控制精度. 仿真结果表明, 本文提出的控制方法质点1速度跟踪误差在±0.2 km/h以内, 各质点控制力变化平稳且小于对比方案.
英文摘要
      Aiming at the problem that the tracking error of traditional control method is large due to the complex and changeable running environment of heavy haul train, a new discrete integral terminal sliding mode predictive control scheme is proposed. In this scheme, a discrete integral terminal sliding mode control law based on adaptive switching control is designed. In order to improve the tracking accuracy of heavy haul train system, the model predictive control is combined with discrete integral terminal sliding mode control, and the discrete integral terminal sliding mode predictive control scheme is derived. The unknown disturbance and system discretization error of heavy haul train multi-input multioutput system are estimated. The simulation results show that the particle 1 velocity tracking error of the control method proposed in this paper is within ±0.2 km/h, and the control force of each particle changes smoothly and is smaller than that of the comparison scheme.