L2 gain state derivative feedback control of uncertain vehicle suspension systems

• Published in: Journal of vibration and control Vol. 24; no. 16; pp. 3779 - 3794
• Main Authors: Yazici, Hakan, Sever, Mert
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01-08-2018; SAGE PUBLICATIONS, INC
• Subjects: Automotive parts; Computer simulation; Control systems design; Controllers; Damping; Feedback control; L2 gain; Linear matrix inequalities; Matrix methods; Passenger comfort; Roads; Robust control; State feedback; State space models; Stiffness; Suspension systems; robust control; active vehicle suspension; polytopic uncertainty; State derivative feedback; linear matrix inequalities
• ISSN: 1077-5463; 1741-2986
• DOI: 10.1177/1077546317711335

This paper is concerned with the design of a robust L2 gain state derivative feedback controller for an active suspension system. An uncertain quarter vehicle model is used to analyze vehicle suspension performance. Parametric uncertainty is assumed to exist in sprung mass, tire stiffness and suspension damping coefficients. Polytopic type state space representation is used to enable robust controller design via a linear matrix inequalities (LMIs) framework. Then nominal and robust L2 gain state derivative feedback controllers having bounded controller gains and robust L2 gain state feedback controllers are tested against ISO2631 random road disturbances with different road grades and vehicle horizontal velocities. Simulation results show that the proposed robust L2 gain state derivative feedback controller is very effective in improving ride comfort without deterioration on road holding ability.