• DocumentCode
    2728025
  • Title

    Integrated Supervision and Manipulation for Heavy-duty Engineering Vehicle Based on MAS

  • Author

    Yuan, Haibin ; Yuan, Haiwen ; Li, Xingshan

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    2604
  • Lastpage
    2608
  • Abstract
    Multi-agent system (MAS) framework model is proposed for heavy-duty vehicle application design and development. The aim is to combine and supervise all controllable subsystems affecting vehicle dynamic response in a distributed environment whilst maintaining a modular approach to the overall system design. Field bus control network is deployed as agent platform topology. The hierarchical framework has three layers and based on engineering application viewpoint. Top layer includes control agent (CA), service agent (SA) and management agent (MA), middle layer consists of agents from top layer and bottom layer, middle layer has the ability to accomplish specific tasks. Bottom layer includes node agent (NA) defined by physical field devices and modules. Agent data model and task collaboration is presented using comprehensive evaluation method. The methodology is applied for integrated supervision and manipulation framework for the developed engineering vehicle. The proposed methodology has reconfiguration ability in engineering practice
  • Keywords
    automobile industry; control engineering computing; multi-agent systems; vehicles; agent data model; artificial intelligence; comprehensive evaluation; computer control; control agent; controllable subsystems; heavy-duty engineering vehicle; heavy-duty vehicle application design; heavy-duty vehicle application development; integrated manipulation; integrated supervision; management agent; manipulation framework; middle layer consists; multiagent system; node agent; service agent; task collaboration; vehicle dynamic response; Application software; Artificial intelligence; Automatic control; Automotive engineering; Control systems; Design engineering; Intelligent agent; Intelligent networks; Intelligent vehicles; Vehicle dynamics; artificial intelligence; computer control; multi-agent system; vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1712833
  • Filename
    1712833