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 :
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