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

fYear

2005

fDate

6-8 June 2005

Firstpage

354

Lastpage

357

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Vehicles Symposium, 2005. Proceedings. IEEE

Print_ISBN

0-7803-8961-1

Type

conf

DOI

10.1109/IVS.2005.1505128

Filename

1505128