• DocumentCode
    569247
  • Title

    Research on Vehicle Anti-braking System Control Algorithm Based on Fuzzy Immune Adaptive PID Control

  • Author

    Jidu, He ; Yongjun, Zheng ; Yu, Tan ; Gang, Wu

  • Author_Institution
    China Agric. Univ., Beijing, China
  • fYear
    2012
  • fDate
    July 31 2012-Aug. 2 2012
  • Firstpage
    723
  • Lastpage
    726
  • Abstract
    A fuzzy immune adaptive PID control algorithm for ABS system is presented after analyzed the lack of traditional slip rate ABS control algorithm, combining with the biological immune principle and the adaptive ability of fuzzy logic ratiocination. And the fuzzy immune PID controller adjust the proportional coefficient, the fuzzy controller adjust the integral and differential coefficient. Compared with the PID control algorithm, fuzzy control algorithm, fuzzy PID control algorithm and fuzzy immune adaptive PID control algorithm, the simulation results indicate that the method has characteristics of small overshoot, fast response, shorter braking distance and strong anti-interference ability and robustness. There is a higher application value in ABS control system.
  • Keywords
    adaptive control; braking; fuzzy control; three-term control; vehicles; ABS system; anti-interference ability; biological immune principle; differential coefficient; fuzzy immune adaptive PID control algorithm; fuzzy logic ratiocination; integral coefficient; shorter braking distance; slip rate ABS control algorithm; vehicle anti-braking system control algorithm; Fuzzy control; Immune system; Mathematical model; Niobium; PD control; Vehicles; Wheels; Anti-braking System; Fuzzy Control; Immune PID Control; Slip Ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on
  • Conference_Location
    GuiLin
  • Print_ISBN
    978-1-4673-2217-1
  • Type

    conf

  • DOI
    10.1109/ICDMA.2012.171
  • Filename
    6298619