• DocumentCode
    3213544
  • Title

    Fuzzy Controller Design of Autonomy Overtaking System

  • Author

    Jin-ying, HUANG ; Hong-xia, PAN ; Xi-wang, Yang ; Jing-da, Li

  • Author_Institution
    Sch. of Mech. Eng. &Autom., North Univ. of China, Taiyuan
  • fYear
    2008
  • fDate
    25-29 Feb. 2008
  • Firstpage
    281
  • Lastpage
    285
  • Abstract
    Based on the fuzzy control theory and taking vehicle´s overtaking process as the research objective, the fuzzy controller is designed and simulated. For the control strategy of intelligent vehicles, most research institutions construct the model according to the given moving trajectory, which has the disadvantages of low anti-jamming capability, great costs and lower response speed. The fuzzy control strategy for intelligent vehicles in this paper is a new dynamical fuzzy controller with three-input and three-output, and its control rule base is composed of 135 pieces of fuzzy reasoning rule. The simulation result proves that the control system of this dynamical fuzzy controller is obviously superior to the traditional system of non-fuzzy controller.
  • Keywords
    control system synthesis; fuzzy control; fuzzy reasoning; nonlinear dynamical systems; vehicles; autonomy overtaking system; dynamical fuzzy controller; fuzzy controller design; fuzzy reasoning rule; intelligent vehicles; vehicles overtaking process; Automatic control; Control systems; Fuzzy control; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Intelligent vehicles; Nonlinear control systems; Path planning; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Engineering Systems, 2008. INES 2008. International Conference on
  • Conference_Location
    Miami, FL
  • Print_ISBN
    978-1-4244-2082-7
  • Electronic_ISBN
    978-1-4244-2083-4
  • Type

    conf

  • DOI
    10.1109/INES.2008.4481308
  • Filename
    4481308