Fuzzy and Neuro-Fuzzy Controller for Active Suspension 2002-01-2204
Design of a fuzzy controller for active suspension of a compact car is the topic of this article. The car dynamic model used for this purpose is very large and completely nonlinear. A large part of this model namely the car basic dynamics is constructed in ADAMS software which in excess of considering the components in their real working conditions, it includes parameters such as flexibility of parts and joints. The hydraulic system of the active suspension system is modeled in Matlab and the two softwares are linked to form the complete car model. Using control methods on the basis of neural network and fuzzy logic, a controller is designed that can eliminate roll over of the car in sever driving conditions.