DocumentCode
3221973
Title
Sensor fault detection by sliding mode observer applied to an autonomous vehicle
Author
Bouibed, K. ; Aitouche, A. ; Bayart, M.
Author_Institution
Polytech-Lille, Univ. of Lille 1, Villeneuve d´´Ascq, France
fYear
2009
fDate
15-17 July 2009
Firstpage
621
Lastpage
626
Abstract
This paper deals with sensors faults detection and isolation using method by observers. The principle is to reconstruct the state vector and measurements of the system by sliding mode observers and compare the estimated outputs with those measured. In this work, a multi observer´s technique is used. It consists on construction of many observers, at least one observer for each output (sensor measurement). Each observer must be robust to noises and to other uncertainties but sensitive to sensor faults. The residual is the estimation error witch is the difference between sensor measurement and its estimated. Without failure in the sensor, this residual remains around zero and if a fault is occurred, it deviates significantly from zero. This method is applied to an autonomous electric vehicle called RobuCar. Simulation results are given at the end to show the effectiveness of the approach.
Keywords
electric vehicles; mobile robots; remotely operated vehicles; sensors; variable structure systems; RobuCar; autonomous electric vehicle; multiobserver technique; sensor fault detection; sensor fault isolation; sensor measurement; sliding mode observer; Electric vehicles; Fault detection; Laboratories; Mobile robots; Navigation; Observers; Pollution measurement; Redundancy; Remotely operated vehicles; Sensor systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Computational Tools for Engineering Applications, 2009. ACTEA '09. International Conference on
Conference_Location
Zouk Mosbeh
Print_ISBN
978-1-4244-3833-4
Electronic_ISBN
978-1-4244-3834-1
Type
conf
DOI
10.1109/ACTEA.2009.5227853
Filename
5227853
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