基于多质点模型的列车自动驾驶非线性模型预测控制  

Nonlinear model predictive control for automatic train operation based on multi-point model

作　　者：贾超 徐洪泽[1] 王龙生 JIA Chao;XU Hong-ze;WANG Long-sheng(School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China;Signal&Communication Research Institute,China Academy of Railway Sciences,Beijing 100081,China)

机构地区：[1]北京交通大学电子信息工程学院,北京100044 [2]中国铁道科学研究院通信信号研究所,北京100081

出　　处：《吉林大学学报（工学版）》2020年第5期1913-1922,共10页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家重点研发计划项目(2016YFB1200602-26,2016YFB1200601-B24)。

摘　　要：研究了多目标优化和多运行约束条件下的列车自动驾驶系统控制器设计问题。在建立非线性多质点模型的基础上,提出了满足列车准时性、节能及乘坐舒适度的列车自动驾驶非线性模型预测控制算法,并给出了算法的可行性及闭环系统稳定性的理论证明。数值仿真验证了本文算法的有效性,仿真结果表明:列车在满足运行约束的条件下,与线性模型预测控制算法相比,本文算法控制效果更好,误差更低。This paper investigate the design of the controller of Automatic Train Operation(ATO)system under the consideration of multiple optimal objectives and constraints. Based on a nonlinear multi-point model, an ATO Nonlinear Model Predictive Control(NMPC) algorithm is proposed to meet the punctuality of train operation,energy saving and passenger comfort. Moreover,the theoretical analysis of algorithm feasibility and the proof of stability for closed-loop system are presented. The validity of the algorithm is verified by numerical simulation. The simulation results show that the proposed algorithm has better control effect and lower error than the Linear Model Predictive Control(LMPC)algorithm when the train meets the operational constraints.

关 键 词：交通信息工程及控制 高速列车 列车自动驾驶 非线性模型预测控制 多质点模型 

分 类 号：U284.48[交通运输工程—交通信息工程及控制]