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Self-adjustment fuzzy control of automobile active suspension

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2 Author(s)
Jianmin Sun ; Dept. of Mech. & Electr. Eng., Beijing Inst. of Civil Eng. & Architecture, China ; Qingmei Yang

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.

Published in:

Intelligent Vehicles Symposium, 2005. Proceedings. IEEE

Date of Conference:

6-8 June 2005

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