• DocumentCode
    2563166
  • Title

    Research of hybrid control architecture of active terrain adaptive vehicle

  • Author

    Yang Cao ; Shuai Fang

  • Author_Institution
    Autom. Dept., Univ. of Sci. & Technol. of China, Hefei
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    2825
  • Lastpage
    2830
  • Abstract
    Hybrid control architecture of active terrain adaptive vehicle based on subsumption architecture is proposed, which regard global and local planning as behavior, and processed synchronously with over-obstacle behavior. The acting field and priority of each behavior are defined with the range of internal and external sensors. Performance evaluation is applied to deal with the uncertainty due to the noise in sensor data, which can enhance the adaptive ability in the unknown unconstructive environment. In order to verify the valid of the proposed architecture, simulation experiment is act under united simulation platform based on virtual prototype. The simulation result is satisfactory.
  • Keywords
    adaptive control; planning; road vehicles; active terrain adaptive vehicle; external sensors; global planning; hybrid control architecture; internal sensors; local planning; performance evaluation; virtual prototype; Adaptive control; Automatic control; Automation; Computer architecture; Control systems; Mobile robots; Programmable control; Simultaneous localization and mapping; Vehicles; Virtual prototyping; Active Terrain Adaptive Vehicle; Motion Control; Subsumption Architecture; Virtual Prototype;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4597841
  • Filename
    4597841