• DocumentCode
    113838
  • Title

    A research on internal model control for vehicle yaw stability

  • Author

    Song Dandan ; Yang Tao

  • Author_Institution
    Automobile Dept., Henan Commun. Vocational Technol., Zhengzhou, China
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    11
  • Lastpage
    14
  • Abstract
    An internal model control method based on inverse system to improve vehicle stability was proposed. The inverse model approximated by neural network was cascaded with the original system in the method. Based on the idea of the inverse system method, the obtained system was controlled by the method via feedback linearization. A simulation is performed with it during two different conditions: step input and sinusoidal input, the results showed that the transient and steady response based on presented method does not depend on the accurate mathematical model of the system, and the presented control way can improve vehicle´s yaw stability and control side slip angle and yaw rate effectively, and achieve steady transient nature, lighten the driver´s burden.
  • Keywords
    feedback; linearisation techniques; neurocontrollers; road traffic control; road vehicles; stability; vehicle dynamics; feedback linearization; internal model control; inverse system; neural network; side slip angle; sinusoidal input; steady response; step input; transient response; vehicle yaw stability; yaw rate; Linear systems; Mathematical model; Neural networks; Stability criteria; Transient analysis; Vehicles; automotive engineering; internal model control; inverse system; neural network; yaw stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/ICIST.2014.6920320
  • Filename
    6920320