• DocumentCode
    702460
  • Title

    The advanced vehicle control algorithm using neural networks

  • Author

    Rodic, Aleksandar ; Katic, Dusko ; Vukobratovic, Miomir

  • Author_Institution
    Robotics Laboratory, Mihajlo Pupin Institute P.O. Box 15, Volgina 15,11060 Belgrade, Serbia & M.N.
  • fYear
    2003
  • fDate
    1-4 Sept. 2003
  • Firstpage
    3094
  • Lastpage
    3099
  • Abstract
    In this paper, a new concept of the advanced integrated vehicle controller with a 4-wheel control system (ADIVEC-4WCS), to provide an automatic system guidance, is presented. The supplementary neuro-compensator is proposed to ensure a control system robustness and better controller adaptability upon the system uncertainties and model innaccuracies. This neural compensator is a part of integrated active control algorithm based on the centralized dynamic control strategy and full vehicle model. The validity and effectiveness of the proposed method based on adaptive capaibility of neural compensator for a four wheel steering system have been demonstrated by simulation experiments.
  • Keywords
    Dynamics; Force; Road vehicles; Roads; Tires; Vehicle dynamics; Road vehicle; automatic guidance; neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Control Conference (ECC), 2003
  • Conference_Location
    Cambridge, UK
  • Print_ISBN
    978-3-9524173-7-9
  • Type

    conf

  • Filename
    7086514