Neuroadaptive robust control of automatic train operation subject to actuator saturation

Author

Shigen Gao ; Hairong Dong ; Bin Ning ; Guanrong Chen ; Yao Chen ; Qingwen Liang

Author_Institution

State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China

fYear

2013

fDate

23-26 June 2013

Firstpage

1

Lastpage

5

Abstract

In this paper, neuroadaptive robust control problem for the automatic train operation (ATO) system under actuator saturation is considered. The saturation is caused by constraints from serving motors. A neuroadaptive robust control scheme is proposed. To cope with the actuator saturation, another neuroad-aptive robust control scheme is proposed for the ATO system, by explicitly considering the actuator saturation nonlinearity other than unknown system parameters, which is proved capable of stabilizing the closed-loop system. The effectiveness of the proposed control schemes are verified via numerical simulations.

Keywords

actuators; adaptive control; closed loop systems; control nonlinearities; neurocontrollers; numerical analysis; railways; robust control; ATO system; actuator saturation nonlinearity; automatic train operation; closed-loop system; control schemes; neuroadaptive robust control; numerical simulations; serving motors; unknown system parameters; Actuators; Closed loop systems; Educational institutions; Neurons; Resistance; Robust control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ASCC), 2013 9th Asian

Conference_Location

Istanbul

Print_ISBN

978-1-4673-5767-8

Type

conf

DOI

10.1109/ASCC.2013.6606093

Filename

6606093