DocumentCode
669446
Title
Sliding mode observer for vehicle states estimation
Author
Chang Mook Kang ; Bo-Ah Kim ; Seung-Hi Lee ; Chung Choo Chung
Author_Institution
Dept. of Electr. Eng., Hanyang Univ., Seoul, South Korea
fYear
2013
fDate
20-23 Oct. 2013
Firstpage
747
Lastpage
750
Abstract
Vehicle states estimation is one of key points in real-time control for autonomous vehicle. Although there are many solutions to estimate vehicle states, some problems still exist in Luenberger observer and linear quadratic observer respectively. This paper proposes a sliding mode observer for vehicle states estimation. The method is developed to make observer irrespective of any uncertain matched noises. Then, the proposed observer could give robust performance for such matched noises. The proposed method is validated via MATLAB/Simulink.
Keywords
control system synthesis; intelligent transportation systems; observers; robust control; variable structure systems; MATLAB/Simulink; autonomous vehicle; real-time control; robust performance; sliding mode observer; uncertain matched noises; vehicle state estimation; Gravity; MATLAB; Observers; Vehicles; Autonomous vehicle; Sliding mode observer;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems (ICCAS), 2013 13th International Conference on
Conference_Location
Gwangju
ISSN
2093-7121
Print_ISBN
978-89-93215-05-2
Type
conf
DOI
10.1109/ICCAS.2013.6704012
Filename
6704012
Link To Document