Title :
Study on Adaptive Fuzzy Logic Active Suspension of Vehicle
Author :
Sun Jianmin ; Qingmei, Yang
Author_Institution :
Beijing Inst. of Civil Eng. & Archit., Beijing
fDate :
May 30 2007-June 1 2007
Abstract :
To improve vehicle comfort and road holding capability, a novel adjustable fuzzy control algorithm which fuzzy control rule table can be obtained with the numerical calculation is advanced. It not only can reflect the advantage of fuzzy logic in nonlinearity system but also can improve the disadvantage of common fuzzy control method strongly depending on the experience. For two degree-of-freedom (DOF) vehicle model, the riding comfort and handling safety of vehicle are regarded as control aims, the simulation of vehicle performance in road signal is studied, its results show the adaptive fuzzy controller can effectively control the vibration of vehicle system and reduce the acceleration of the sprung mass.
Keywords :
adaptive control; automotive components; control nonlinearities; fuzzy control; road vehicles; suspensions (mechanical components); vibration control; adaptive fuzzy logic active vehicle suspension; adjustable fuzzy control algorithm; fuzzy control rule table; handling safety; nonlinearity system; riding comfort; road holding capability; two degree-of-freedom vehicle model; vehicle comfort; vehicle system vibration control; Adaptive control; Fuzzy control; Fuzzy logic; Fuzzy systems; Programmable control; Road safety; Road vehicles; Vehicle safety; Vibration control; Weight control; active control; comfort; fuzzy logic; vehicle suspension;
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0818-4
Electronic_ISBN :
978-1-4244-0818-4
DOI :
10.1109/ICCA.2007.4376589
