DocumentCode :
2813063
Title :
Lateral vehicle velocity estimation using fuzzy sliding mode observer
Author :
Oudghiri, Mohammed ; Chadli, Mohammed ; El Hajjaji, Ahmed
Author_Institution :
Centre de Robotique, d´´Electrotech. et d´´Autom., Amiens
fYear :
2007
fDate :
27-29 June 2007
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a robust method for estimation the lateral velocity of vehicle. The proposed observer describes a simple structure that contains a sliding mode term which turns out to be robust against output noises and parameters variations as well as sustained disturbances The given nonlinear model of the vehicle is then represented by an uncertain Takagi-Sugeno fuzzy model when the road adhesion conditions change and the sideslip angle is unavailable for measurement. After giving the nonlinear model of the vehicle, its representation by a T-S uncertain fuzzy model is discussed. Stability conditions of such observers are expressed in terms of linear matrix inequalities (LMI). To illustrate the effectiveness of the proposed design observer, a numerical simulation is given.
Keywords :
adhesion; fuzzy set theory; linear matrix inequalities; nonlinear systems; observers; road vehicles; stability; variable structure systems; LMI; T-S uncertain fuzzy model; Takagi-Sugeno model; fuzzy sliding mode observer; lateral vehicle velocity estimation; linear matrix inequalities; nonlinear vehicle model; road adhesion conditions; sideslip angle; stability; Control systems; Linear matrix inequalities; Noise robustness; Optical sensors; Robots; Sliding mode control; Stability; Tires; Vehicle dynamics; Vehicle safety; Fuzzy Model; LMI; Lateral velocity estimation; Sliding Mode Observer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control & Automation, 2007. MED '07. Mediterranean Conference on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-1282-2
Electronic_ISBN :
978-1-4244-1282-2
Type :
conf
DOI :
10.1109/MED.2007.4433910
Filename :
4433910
Link To Document :
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