Title :
Application of fuzzy rules adjustable algorithm to vehicle active suspension system
Author :
Jianmin Sun ; Gequn Shu
Author_Institution :
Sch. of Mech. Eng., Tianjin Univ.
Abstract :
In this paper, the riding comfort and handling safety of vehicle are regarded as control aims. 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, 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 simulation of vehicle performance in road signal is studied, its results show the adjustable fuzzy algorithm can effectively control the vibration of vehicle system
Keywords :
fuzzy control; suspensions (mechanical components); vehicles; degree-of-freedom vehicle model; fuzzy control rule table; fuzzy logic; fuzzy rules adjustable algorithm; nonlinearity system; riding comfort; safety handling; vehicle active suspension system; Automotive engineering; Control systems; Error correction; Fuzzy control; Fuzzy logic; Fuzzy systems; Mechanical engineering; Quantization; Road vehicles; Vehicle safety;
Conference_Titel :
Cybernetics and Intelligent Systems, 2004 IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-8643-4
DOI :
10.1109/ICCIS.2004.1460783