Title :
Self-adjustment fuzzy control of automobile active suspension
Author :
Sun, Jianmin ; Yang, Qingmei
Author_Institution :
Dept. of Mech. & Electr. Eng., Beijing Inst. of Civil Eng. & Architecture, China
Abstract :
With the nonlinearity of the road-automotive system, an adjustable fuzzy control algorithm which fuzzy control rule table can be obtained with the numerical calculation is advanced. The rectification factor is adjusted online according to LMS adaptive method. The factor can be influenced by exciting signal and controlled signal. For two degree-of-freedom (DOF) automotive model, the simulation of automotive performance in road signal is studied; its results show the adjustable fuzzy controller can reduce the acceleration of the sprung mass by a factor of 20. According to the experiment study of automotive model, the experiment effect is basically similar to simulation results. It proves further the validity of advanced algorithm.
Keywords :
adaptive control; automobiles; fuzzy control; least mean squares methods; self-adjusting systems; LMS adaptive method; active suspension; automobile active suspension; degree-of-freedom automotive model; least means square; numerical calculation; road-automotive system; self-adjustment fuzzy control; sprung mass; Automatic control; Automobiles; Automotive engineering; Electronic mail; Error correction; Fuzzy control; Mathematical model; Mathematics; Quantization; Sun;
Conference_Titel :
Intelligent Vehicles Symposium, 2005. Proceedings. IEEE
Print_ISBN :
0-7803-8961-1
DOI :
10.1109/IVS.2005.1505128
