Title :
Design of adaptive fuzzy controller for active suspension system
Author :
Sun, Jianmin ; Yang, Qingmei
Author_Institution :
Sch. of Mech. Eng., Tianjin Univ., China
Abstract :
With the nonlinearity of the road-vehicle system, an adjustable fuzzy control algorithm which fuzzy control rule table can be obtained with the numerical calculation is advanced. Because the algorithm can adjust the rectification factor of fuzzy controller with the least means squares (LMS) method, 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 by a factor of 20.
Keywords :
adaptive control; fuzzy control; least mean squares methods; road vehicles; vibration control; acceleration reduction; active suspension system; adaptive fuzzy controller; degree-of-freedom vehicle model; fuzzy control rule table; fuzzy logic; handling safety; least means square method; nonlinearity system; rectification factor; road signal; road-vehicle system; sprung mass; vibration control; Adaptive control; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Programmable control; Road safety; Road vehicles; Vehicle safety; Weight control;
Conference_Titel :
Industrial Technology, 2004. IEEE ICIT '04. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8662-0
DOI :
10.1109/ICIT.2004.1490230
