Title :
Integrated supervision approach applied to an electric vehicle
Author :
Djeziri, M.A. ; Merzouki, R. ; Ould Bouamama, B.
Author_Institution :
LAGIS, Ecole Centrale de Lille, Villeneuve-d´Ascq, France
Abstract :
In this paper, robust Fault Detection and Isolation (FDI) of traction system in electric vehicle with structured and unstructured uncertainties is presented. Due to the structural and multi-physical properties of the bond graph, the generation of nonlinear model and residuals with adaptive thresholds is synthesized. Then, parameter and structured uncertainties are identified, and a super twisting observer is used for both estimation of unstructured uncertainties and unknown inputs. Co-simulation results with real experimental data shows the robustness of the residuals to uncertainties and their sensitivity to faults.
Keywords :
bond graphs; electric vehicles; fault diagnosis; nonlinear control systems; observers; parameter estimation; robust control; traction; adaptive thresholds; bond graph; electric vehicle; integrated supervision approach; multiphysical properties; nonlinear model generation; parameter identification; robust fault detection and isolation; structural properties; structured uncertainties; super twisting observer; traction system; unstructured uncertainties; DC motors; Electric vehicles; Mathematical model; Monitoring; Sensors; Torque; Uncertainty;
Conference_Titel :
Control Conference (ECC), 2009 European
Conference_Location :
Budapest
Print_ISBN :
978-3-9524173-9-3
