MODEL PREDICTIVE CONTROL FOR ACTIVE SUSPENSION

KRUCZEK, A.; STŘÍBRSKÝ, A.

Abstract

Model predictive control can bring interesting benefits to active suspension system. Such a closed loop system should satisfy certain requirements: car handling and passengers comfort improvement. These requirements are contradictory and therefore control design has to be a trade-off. Thus design objective is to maintain much better properties than with passive suspension. Unfortunately, as in the most application there is a saturation constraint on the actuator and consequently MPC design has been chosen. In this paper an active suspension system for the personal cars is designed with a linear electric motor as actuator. For experiment and simulation results linear electric motor TBX3810 and its Simulink model has been used. It can be concluded that passenger comfort has been improved and car stability has been preserved whereas linear motor constraint has been kept.

Coresponding author e-mail: kruczea[at]fel[dot]cvut[dot]cz

Session: Model Predictive Control