Adaptive Super-Twisting Observer for Estimation of Random Road Excitation Profile in Automotive Suspension Systems
Joint Authors
Defoort, M.
Rath, J. J.
Veluvolu, Kalyana C.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-09
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Rath, J. J.& Veluvolu, Kalyana C.& Defoort, M.. 2014. Adaptive Super-Twisting Observer for Estimation of Random Road Excitation Profile in Automotive Suspension Systems. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1048713
Modern Language Association (MLA)
Rath, J. J.…[et al.]. Adaptive Super-Twisting Observer for Estimation of Random Road Excitation Profile in Automotive Suspension Systems. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1048713
American Medical Association (AMA)
Rath, J. J.& Veluvolu, Kalyana C.& Defoort, M.. Adaptive Super-Twisting Observer for Estimation of Random Road Excitation Profile in Automotive Suspension Systems. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1048713
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048713