Table of Contents Author Guidelines Submit a Manuscript
Volume 2018 (2018), Article ID 2381568, 9 pages
Research Article

Modelling and Analysis of Automobile Vibration System Based on Fuzzy Theory under Different Road Excitation Information

College of Automobile and Traffic Engineering, Liaoning University of Technology, Jinzhou 121001, China

Correspondence should be addressed to Xue-wen Chen

Received 16 May 2017; Revised 23 June 2017; Accepted 6 November 2017; Published 2 January 2018

Academic Editor: Sigurdur F. Hafstein

Copyright © 2018 Xue-wen Chen and Yue Zhou. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A fuzzy increment controller is designed aimed at the vibration system of automobile active suspension with seven degrees of freedom (DOF). For decreasing vibration, an active control force is acquired by created Proportion-Integration-Differentiation (PID) controller. The controller’s parameters are adjusted by a fuzzy increment controller with self-modifying parameters functions, which adopts the deviation and its rate of change of the body’s vertical vibration velocity and the desired value in the position of the front and rear suspension as the input variables based on 49 fuzzy control rules. Adopting Simulink, the fuzzy increment controller is validated under different road excitation, such as the white noise input with four-wheel correlation in time-domain, the sinusoidal input, and the pulse input of C-grade road surface. The simulation results show that the proposed controller can reduce obviously the vehicle vibration compared to other independent control types in performance indexes, such as, the root mean square value of the body’s vertical vibration acceleration, pitching, and rolling angular acceleration.