• DocumentCode
    506799
  • Title

    Research on optimal control of Multi-Agent technology in automobile body coating line system

  • Author

    Yong-wei, Ye ; Ye-feng Jiang ; Jian-dong Jiang ; Yan-wei, Zhao ; Li-qun, Huang

  • Author_Institution
    MOE Key Lab. of Mech. Manuf. & Autom., Zhejiang Univ. of Technol., Hangzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    494
  • Lastpage
    499
  • Abstract
    Directing to the difficulty in system integration, an optimal control model of multi-agent and multilayer in automobile body coating line was proposed. The architecture of optimal control model was built, which included central coordination agent layer, regional coordination agent layer and equipment agent layer. Combined with the coordination principle of game theory, a coordination mechanism of the optimal control model was analyzed. For achieving the greatest degree on the collaboration of equipment, improving its intelligence and realizing the low power consumption, optimal coordination strategy was established, which took the minimization of system power consumption as objective function. Finally, the validity of the model was demonstrated by an example.
  • Keywords
    automobile industry; coating techniques; game theory; multi-agent systems; optimal control; power consumption; automobile body coating line system; game theory; multi-agent technology; optimal control; power consumption; Artificial intelligence; Automobiles; Coatings; Collaboration; Control systems; Energy consumption; Intelligent agent; Manufacturing automation; Optimal control; Reliability theory; Multi-Agent; coatting line; game theory; optimal control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358339
  • Filename
    5358339