Optimal Active Control of Nonlinear Vehicle Suspensions Using Neural Networks

Chaotic behaviors of a ground vehicle oscillating system with passengers

“…The linear damping forces of the passenger seat are given as: where F pc is the damping force, c p is the equivalent damping coe cient, and _ p is the relative velocity of the damper. It is assumed that the modeled nonlinear suspension spring has the following characteristics [5]:…”

“…The half-car model (4-d.o.f. system) as a two-wheel (front and rear) one is used to study heave and pitch motions with the de ection of tires and suspension [5][6][7]. A more complex model is the full vehicle one that is a 3-D model with seven degrees of freedom that can be used for studying heave, pitch, and roll motions [8].…”

Adaptive Fuzzy Wavelet NN Control Strategy for Full Car Suspension System

“…(Rao & Prahlad, 1997) proposed a tuneable fuzzy logic controller, on active suspension system without taking into account the nonlinear features of the suspension spring and shock absorber, also, the robustness problem was not discussed. The neural network control system applied on active suspension system has been discussed by (Moran & Masao, 1994) but does not give enough information about the robustness and sensitivity properties of the neural control towards the parameter deviations and model uncertainties. Also, sliding mode neural network inference fuzzy logic control for active suspension systems is presented by (Al-Holou et al, 2002), but did not give any information about the rattle space limits.…”

Chaotic vibration of a nonlinear full-vehicle model

“…1(b). It is a two wheel model (front and rear) for studying the heave and pitch motions (Moran and Nagai, 1994;Vetturi et al, 1996;Campos et al, 1999). This four degreeof-freedom model allows the study of the heave and pitch motions with the deflection of tires and suspensions.…”