• 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