NDLI: Dynamics observation and parameters identification of heavy vehicle via second order sliding mode

Content Provider	IEEE Xplore Digital Library
Author	Bouteldja, M. Djemaï, M. Fridman, L.
Copyright Year	2010
Description	Author affiliation: Univ. Lille Nord de France, F-59000 Lille, France (Djemaï, M.) \|\| Department of Postgraduate Study National Autonomous University of Mexico, Mexico (Fridman, L.) \|\| Laboratoire Régional des Ponts et Chaussées, 25, Av François Mitterrand, 69500 Bron-FRANCE (Bouteldja, M.)
Abstract	In road transport domain, the use of state dynamics observation/estimation and parametric identification techniques are necessary for control diagnosis. Unfortunately, the use of different methods of observations/estimation and parametric identification is not without risk. This risk can be observed in term of accumulation of errors which can be considerable and more still, on the level of the total stability of the system. This article presents an original method allowing the observation/estimation of sates dynamics and parametric identification. This method is based on the approach of the High order sliding modes, with the application of the super-twisting algorithm and tested on a articulated heavy vehicle model.
Starting Page	463
Ending Page	468
File Size	479648
Page Count	6
File Format	PDF
ISBN	9781424458295
e-ISBN	9781424458318
e-ISBN	9781424458301
DOI	10.1109/VSS.2010.5545142
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-26
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parameter estimation Stability Estimation Control systems Identification Vehicle dynamics Sliding mode control Convergence Axles Vehicle safety Road vehicles Observer Second Order Sliding Mode Tires Modelling Heavy Vehicle
Content Type	Text
Resource Type	Article

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