Adaptive Super-Twisting Observer for Estimation of Random Road Excitation Profile in Automotive Suspension Systems

The estimation of road excitation profile is important for evaluation of vehicle stability and vehicle suspension performance for autonomous vehicle control systems. In this work, the nonlinear dynamics of the active automotive system that is excited by the unknown road excitation profile are consid...

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Main Authors: J. J. Rath, K. C. Veluvolu, M. Defoort
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/203416
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author J. J. Rath
K. C. Veluvolu
M. Defoort
author_facet J. J. Rath
K. C. Veluvolu
M. Defoort
author_sort J. J. Rath
collection DOAJ
description The estimation of road excitation profile is important for evaluation of vehicle stability and vehicle suspension performance for autonomous vehicle control systems. In this work, the nonlinear dynamics of the active automotive system that is excited by the unknown road excitation profile are considered for modeling. To address the issue of estimation of road profile, we develop an adaptive supertwisting observer for state and unknown road profile estimation. Under Lipschitz conditions for the nonlinear functions, the convergence of the estimation error is proven. Simulation results with Ford Fiesta MK2 demonstrate the effectiveness of the proposed observer for state and unknown input estimation for nonlinear active suspension system.
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spelling doaj-art-6f21e20ebe4c41b0a0f2141810f08ff02025-08-20T02:06:23ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/203416203416Adaptive Super-Twisting Observer for Estimation of Random Road Excitation Profile in Automotive Suspension SystemsJ. J. Rath0K. C. Veluvolu1M. Defoort2School of Electronics Engineering, Kyungpook National University, Daegu 702-701, Republic of KoreaSchool of Electronics Engineering, Kyungpook National University, Daegu 702-701, Republic of KoreaLAMIH, CNRS UMR 8201, University Lille Nord de France, UVHC, 59313 Valenciennes, FranceThe estimation of road excitation profile is important for evaluation of vehicle stability and vehicle suspension performance for autonomous vehicle control systems. In this work, the nonlinear dynamics of the active automotive system that is excited by the unknown road excitation profile are considered for modeling. To address the issue of estimation of road profile, we develop an adaptive supertwisting observer for state and unknown road profile estimation. Under Lipschitz conditions for the nonlinear functions, the convergence of the estimation error is proven. Simulation results with Ford Fiesta MK2 demonstrate the effectiveness of the proposed observer for state and unknown input estimation for nonlinear active suspension system.http://dx.doi.org/10.1155/2014/203416
spellingShingle J. J. Rath
K. C. Veluvolu
M. Defoort
Adaptive Super-Twisting Observer for Estimation of Random Road Excitation Profile in Automotive Suspension Systems
The Scientific World Journal
title Adaptive Super-Twisting Observer for Estimation of Random Road Excitation Profile in Automotive Suspension Systems
title_full Adaptive Super-Twisting Observer for Estimation of Random Road Excitation Profile in Automotive Suspension Systems
title_fullStr Adaptive Super-Twisting Observer for Estimation of Random Road Excitation Profile in Automotive Suspension Systems
title_full_unstemmed Adaptive Super-Twisting Observer for Estimation of Random Road Excitation Profile in Automotive Suspension Systems
title_short Adaptive Super-Twisting Observer for Estimation of Random Road Excitation Profile in Automotive Suspension Systems
title_sort adaptive super twisting observer for estimation of random road excitation profile in automotive suspension systems
url http://dx.doi.org/10.1155/2014/203416
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AT kcveluvolu adaptivesupertwistingobserverforestimationofrandomroadexcitationprofileinautomotivesuspensionsystems
AT mdefoort adaptivesupertwistingobserverforestimationofrandomroadexcitationprofileinautomotivesuspensionsystems