• DocumentCode
    2809441
  • Title

    Research on adaptive control method of autonomous vehicle lateral motion

  • Author

    Jun, Gu ; Huapeng, Zhou

  • Author_Institution
    Dept. of Inf. Eng., JIANGSU Radio & TV Univ., Nanjing, China
  • Volume
    8
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    This paper studies the application of the adaptive control method in lateral control of the autonomous vehicle. Based on the classical PID control, the design scheme accomplishes online parameter self-tuning of PID controller through the single neuron. It designs a non-model and non-parametric adaptive control method. On the basis of the preview follow theory and two degrees of freedom linear model, we establish the vehicle control model and verify the control method of the lateral control with the MATLAB simulation. The simulation results show that the control method can more effectively control the longitudinal stability of a vehicle and have better real-time performance than methods which need a precise mathematical model or need to define a model and its parameters.
  • Keywords
    adaptive control; control system synthesis; mobile robots; motion control; self-adjusting systems; three-term control; vehicle dynamics; MATLAB simulation; PID control; adaptive control; autonomous vehicle; freedom linear model; lateral control; longitudinal stability; parameter self-tuning; preview follow theory; vehicle control model; Adaptation model; PID; adaptive; autonomous vehicle; lateral control; preview model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5619040
  • Filename
    5619040