城市轨道交通ATO速度控制算法与仿真研究  

Research on ATO Speed Control Algorithm and Simulation of Urban Rail Transit

作　　者：冯庆胜[1] 石苗 FENG Qingsheng;SHI Miao(Dalian Jiaotong University, Dalian 116028,China)

机构地区：[1]大连交通大学

出　　处：《徐州工程学院学报（自然科学版）》2019年第2期75-81,共7页Journal of Xuzhou Institute of Technology(Natural Sciences Edition)

摘　　要：针对列车自动驾驶系统(ATO)速度控制算法的精度问题,建立列车动力学模型,设计能够达到列车自动驾驶基本要求的PID控制器,并利用模糊PID控制算法和简捷鲁棒控制算法设计性能更好的速度控制器;应用MATLAB中的Simulink工具进行仿真调整,且将PID控制、模糊PID控制和简捷鲁棒控制3种设计方法进行对比.仿真结果表明:简捷鲁棒控制算法的控制性能相对较好,具有较小的超调量和调节时间的性能,能够更好地达到列车自动驾驶运行指标的要求.Aiming at the accuracy of speed control algorithm of automatic train driving system (ATO),a train dynamics model is established,and a PID controller which can meet the basic requirements of automatic train driving is designed.The fuzzy PID control algorithm and the simple and robust control algorithm are used to design better speed controller.The Simulink tool in MATLAB is used to adjust the simulation and to compare the three design methods of the controller.The simulation results show that the control performance of the simple and robust control algorithm is relatively better with small overshoot and regulation time performance,which can better meet the requirements of automatic driving operation index.

关 键 词：列车自动驾驶 PID 模糊PID 简捷鲁棒控制 MATLAB仿真 

分 类 号：U231[交通运输工程—道路与铁道工程]