DocumentCode :
188896
Title :
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
Link To Document :
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