Design of a Predictive Semiactive Suspension System

Abstract

SUMMARYIn this paper we present an original design procedure for semiactive suspension systems. Firstly, we consider a target active control law that takes the form of a feedback control law. Secondly, we approximate the target law by controlling the damper coefficient f of the semiactive suspension. In particular, we examine two different kinds of shock absorbers: the first one uses magneto-rheological fluid instead of oil, while the second one is a solenoid valve damper. In both cases the nonlinear characteristics force-velocity of the damper are used to approximate the target law. To improve the efficiency of the proposed system, we take into account the updating frequency of the coefficient f and compute the expected value of f using a predictive procedure. We also address the problem of designing an asymptotic state observer that can be used not only to estimate the current state but also to predict the value that the state will take at the next sampling time.

Automotive Ride Comfort Control Using MR Fluid Damper

“…The dynamic tyre load is the main affect of tyre/road friction forces which controlling the vehicle lateral stability during handling maneuvers and braking, stopping distance, traction forces as well as tyre rolling resistance [1]. Semi-active suspension, which has the principle of controlling energy dissipation, is accepted for automotive manufacturers since they can achieve a desirable performance than passive suspension and there are no external power source requirements (other than for control valve actuation) and much more simple in comparison with fully active suspension [2][3][4][5][6]. Most of previous research work in semi-active suspensions considered that the damping force can be controlled through mechanical changing for the damper orifice using hydraulic valves.…”

Compare and analysis of passive and active suspensions under random road excitation

“…When input or disturbance changes in a big scale, system based on theory of adaptive control can adjust parameters of system or controllable strategy in order to make output still meet the demand of design [7][8][9][10].…”

Preview control of semi-active suspension based on a half-car model using Fast Fourier Transform

“…A predictive approach was presented by Giua et al in [24], such that the desired damper force is calculated based on an active force feedback controller. A "fast" MPC based on nonlinear function approximation techniques was implemented by Canale et al in [25], [26].…”