• DocumentCode
    3213023
  • Title

    Neural Network Control Approach of Vehicle Active Yaw Moment

  • Author

    Li Jianfeng ; Gao Li

  • Author_Institution
    Dept. of Traffic Eng., Beijing Inst. of Technol., China
  • fYear
    2006
  • fDate
    7-11 Aug. 2006
  • Firstpage
    1714
  • Lastpage
    1717
  • Abstract
    A neural network controller was designed to generate additional yaw moment of the vehicle. This controller was expected to make the yaw rate tracking the desired trajectory. A yaw rate tracking control model has been developed based on two degree of freedom vehicle dynamic state equation. The proposed model was employed to calculate the yaw rate and slip angle response characteristics of a vehicle under severe cornering maneuver, and it shows the handling and stability is significantly improved as compared to the uncontrolled one. At last, the design of a semi-physical simulation experiment for further research is described.
  • Keywords
    neural nets; stability; vehicle dynamics; neural network controller; semiphysical simulation experiment; stability; vehicle active yaw moment; vehicle dynamic state equation; vehicle dynamical model; yaw rate tracking control model; Control system synthesis; Control systems; Equations; Neural networks; Nonlinear dynamical systems; Road vehicles; Vehicle dynamics; Vehicle safety; Weight control; Wheels; Neural network controller; Vehicle dynamical model; Yaw rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2006. CCC 2006. Chinese
  • Conference_Location
    Harbin
  • Print_ISBN
    7-81077-802-1
  • Type

    conf

  • DOI
    10.1109/CHICC.2006.280829
  • Filename
    4060386