NMPC Applied to Operation of High-speed Train

被引：0

作者：

Gang, Yang ^{[1
]}

Liu Mingguang ^{[1
]}

机构：

[1] Beijing Jiaotong Univ, Sch Elect Engn, Beijing, Peoples R China

来源：

PROCEEDINGS OF 2012 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2012) | 2012年

关键词：

High-speed train; Nonlinear; Uncertainties; Model Predictive Control;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The operation of a high-speed train is a high-nonlinear process with uncertainties, which is one of challenges for Automatic Train Operation system. Thus this paper uses Nonlinear Model Predictive Control algorithm (NMPC). To the uncertainties of train caused by friction, slope of rails, strong wind, and so on, taking advantage of flexibility and adaptation of Model Predictive Control, an update strategy for model parameters is given. In the end, a simulation is conducted to test the effectiveness of this method with typical operation condition of a train on Beijing-Shanghai high-speed railway.

引用

页码：1005 / 1008

页数：4

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