A nonlinear parameter varying observer for real‐time damper force estimation of an automotive electro‐rheological suspension system. (24th June 2021)

• Record Type: Journal Article
• Authors: Pham, Thanh‐Phong; Sename, Olivier; Dugard, Luc
• Other Names: Sename Olivier guestEditor.; Rotondo Damiano guestEditor.
• Is Part Of: International journal of robust and nonlinear control. Volume 31:Number 17(2021)
• Page Start: 8183
• Page End: 8205
• Publication Date: 2021-06-24
• Subjects: damping force estimation -- Lipchitz condition -- NLPV observer -- quadratic stability -- robust stability -- semi‐active suspension; Automatic control -- Periodicals; Control theory -- Periodicals; Nonlinear systems -- Periodicals; 629.836
• DOI: 10.1002/rnc.5583
• Languages: English
• ISSNs: 1049-8923

Abstract

Abstract: This paper proposes a nonlinear parameter varying (NLPV) observer to estimate, in real‐time, the damper force of an electrorheological (ER) damper in a road vehicle suspension system. The objectives are to minimize the effects of bounded unknown road profile disturbances and measurement noises on the estimation errors in the ℋ ∞ framework. Furthermore, the nonlinearity coming from the damper model (and considered in the observer formulation) is handled through a Lipschitz condition. The observer inputs are data given by two low‐cost sensors (two accelerometers data from the sprung mass and the unsprung mass). For performance assessment, the observer is implemented on a 1/5‐scaled real vehicle testbench of GIPSA‐lab, namely INOVE (see www.gipsa‐lab.fr/projet/inove). Both simulation and experimental results demonstrate the effectiveness of the proposed observer in terms of the ability to estimate the damper force in real‐time and to minimize the effects of measurement noises and road disturbances.