Estimation of road profile for suspension systems using adaptive super-twisting observer

Author

Rath, Jagat J. ; Veluvolu, Kalyana C. ; Defoort, M.

Author_Institution

Sch. of Electron. Eng., Kyungpook Nat. Univ., Daegu, South Korea

fYear

2014

fDate

24-27 June 2014

Firstpage

1675

Lastpage

1680

Abstract

The performance evaluation of active suspension system of vehicle is critically reliant on estimation of random road roughness profile. In this paper, the nonlinear dynamics of spring and damper of the active suspension system are considered to develop a nonlinear model excited by the random road excitation profile as an unknown input. To estimate the unknown input, an adaptive super-twisting algorithm based observer is designed for estimation of the road profile and states of the system. Under Lipschitz conditions, the convergence of the error dynamics is then proven. The effectiveness of the proposed observer for state and unknown input estimation is shown through simulation results performed for the Ford Fiesta MK2 vehicle suspension dynamics.

Keywords

adaptive systems; automobiles; estimation theory; nonlinear dynamical systems; observers; performance evaluation; shock absorbers; springs (mechanical); vehicle dynamics; Ford Fiesta MK2 vehicle suspension dynamics; Lipschitz conditions; active suspension system; adaptive super-twisting observer algorithm; damper; error dynamics convergence; nonlinear dynamics model; performance evaluation; random road roughness profile estimation; spring; unknown input estimation; Nonlinear dynamical systems; Observers; Roads; Suspensions; Vehicle dynamics; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 2014 European

Conference_Location

Strasbourg

Print_ISBN

978-3-9524269-1-3

Type

conf

DOI

10.1109/ECC.2014.6862248

Filename

6862248