Dynamics observation and parametres identification of heavy vehicle via second ordre sliding modes

Mohamed Bouteldja (1) , Mohamed Djemai (2) , Leonid Fridman (3)

1 CETE de Lyon - Centre d'études techniques de l'équipement de Lyon
2 LAMIH - Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201
3 Department of Postgraduate Study National Autonomous University of Mexico

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 supertwisting algorithm and tested on a articulated heavy vehicle model.

Mots clés: POIDS LOURD; ESTIMATION; IDENTIFICATION; MODELISATION

Domaines: Automatique / Robotique

Mohamed Bouteldja, Mohamed Djemai, Leonid Fridman. Dynamics observation and parametres identification of heavy vehicle via second ordre sliding modes. 11th international Workshop on Variable Structure Systems VSS'10, Jun 2010, Mexico City, Mexico. ⟨hal-00594217⟩