Iterative Learning Control Based Automatic Train Operation with Iteration-Varying Parameter

被引：0
|
作者：
Li, Zhenxuan [1 ]
Yin, Chenkun [1 ]
Jin, Shangtai [1 ]
Hou, Zhongsheng [1 ]
机构：
[1] Beijing Jiaotong Univ, Adv Control Syst Lab, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
来源：
2013 10TH IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA) | 2013年
关键词：
Iterative Learning Control; Trajectory Tracking; High Speed Train; ATO; SYSTEMS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An iterative learning control (ILC) based on Automatic Train Operation (ATO) is proposed to address train speed tracking problem under iteration-varying operation condition, that is, the air resistance coefficients of the train at any two consecutive iterations are completely different. Using the data measured by the sensors, repetitive requirement of traditional ILC is partially relaxed in the proposed method. The effectiveness of the proposed method is verified by theoretical analysis and numerical simulation.
引用
收藏
页码：51 / 56
页数：6
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