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Conference Papers Year : 2012

Unknown input observer for vehicle lateral dynamics based on a Takagi-Sugeno model with unmeasurable premise variables

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Zedjiga Yacine
  • Function : Author
Dalil Ichalal
  • Function : Author
  • PersonId : 901033
Naima Ait Oufroukh
  • Function : Author
  • PersonId : 855938
Saïd Mammar
  • Function : Author
Said Djennoune
  • Function : Author

Abstract

In this paper, an observer is proposed for estimating vehicle states which are not available for measurement. A new representation of a nonlinear vehicle model by exact Takagi-Sugeno structure is proposed based on sector nonlinearity approach. It leads to a multiple model with unmeasurable premise variables which constitutes the first contribution of the present paper. As a second contribution, a state estimation by an Unknown Input Observer (UIO) with unmeasurable premise variables is considered. It takes into account the variations of the longitudinal velocity in order to reflect realistic driving conditions. The convergence conditions of this observer are formulated as an optimization problem subjected to constraints established using Lyapunov theory and expressed under Linear Matrix Inequalities. Finally, some simulations are performed on the nonlinear model of the vehicle including the variations of the longitudinal velocity.
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Dates and versions

hal-00905748 , version 1 (18-08-2022)

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Attribution - CC BY 4.0

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Zedjiga Yacine, Dalil Ichalal, Naima Ait Oufroukh, Saïd Mammar, Said Djennoune. Unknown input observer for vehicle lateral dynamics based on a Takagi-Sugeno model with unmeasurable premise variables. 51st IEEE Conference on Decision and Control (CDC 2012), Dec 2012, Maui, United States. pp.6211--6216, ⟨10.1109/CDC.2012.6426213⟩. ⟨hal-00905748⟩
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