Modeling and Intelligent Control of Vehicle Active Suspension System

Abstract

Due to the inherent nonlinear nature of vehicle fluid damper, an intelligent control algorithm which fuzzy control rule table can be obtained with the numerical calculation is advanced. The algorithm can adjust the rectification factor of fuzzy controller by adaptive filter method. Suspension dynamics are modeled using a two degree-of-freedom, linear and time-invariant vehicle model. The acceleration of the sprung mass is included in the premise part of the fuzzy rules to reduce the vertical acceleration of the sprung mass. For riding comfort and handling safety of vehicle, the simulation of vehicle performance in road signal is studied. Its results show the intelligent controller can effectively control the vibration of vehicle system and reduce the acceleration of the sprung mass.