ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.203
Study on the Stair-Like Predictive Control of Train
Abstract— The Automatic Train Operation System is an important part of ensuring the quality of rail transit.
Generalized predictive control is an algorithm which is easy to be implemented. But the classical GPC
algorithm requires matrix inversion and large calculation. Based on the classical GPC, stair-like control
scheme is adopted to avoid matrix inversion in this paper. Besides, input constraints are considered according
to the actual situation of train operation. Therefore, the GPC algorithm can be better applied to the ATO
system. The validity of the algorithm is proved by simulation.
Index Terms— ATO, generalized predictive control, stair-like control, input constraints
Jiaxi Yuan, Xiangxian Chen, Chenge Geng
Department of Instrumentation Science and Engineering, Zhejiang University, CHINA
Zhujun Ling, Dandan Liu,Guantao Hu
Research and Development Center, Zhejiang United Science and Technology Co., Ltd, CHINA
ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.17Xsrc="http://www.wcse.org/uploadfile/2019/0823/20190823055609629.png" style="width: 120px; height: 68px;" />[Download]
Cite: Jiaxi Yuan, Xiangxian Chen, Chenge Geng, Zhujun Ling, Dandan Liu,Guantao Hu, "Study on the Stair-Like Predictive Control of Train," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 1164-1168, Beijing, 25-27 June, 2017.