NETE Electrohydraulic Active Suspension Fuzzy-Neural Based Control System

Abstract

design of a new controller via a combination of
fuzzy controller and artificial neural network (ANN) force
tracking solution for a full vehicle suspension system with
nonlinear electrohydraulic actuator dynamics is proposed. The
comparison between the new Fuzzy-ANN force tracking
controller designed with passive suspension system and PID-ANN
controller previously developed is presented. Simulations and
results obtained show that the Fuzzy-ANN combined controller
can improve the stability problems caused by disturbances and
road conditions, providing a superior passenger comfort.