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
fDate :
July 31 2012-Aug. 2 2012
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;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on
Conference_Location :
GuiLin
Print_ISBN :
978-1-4673-2217-1
DOI :
10.1109/ICDMA.2012.171