DocumentCode :
3221610
Title :
Robust observer for prevention of vehicle rollover
Author :
Rabhi, A. ; Chadli, M. ; El Hajjaji, A. ; Bosche, J.
Author_Institution :
Lab. of Modelisation, Univ. of Picardie Jules Verne, Amiens, France
fYear :
2009
fDate :
15-17 July 2009
Firstpage :
627
Lastpage :
632
Abstract :
In this paper an approach for detecting impending rollover is proposed. The method includes an algorithm based on Takagi-Sugeno (TS) fuzzy observer to prevent rollover of the vehicle when road adhesion conditions change. To design such observer, we take into account that roll rate can be measured easily by sensor, but roll angle is not measured. The proposed method allows estimating the roll angle and the roll rate from measurable signals such as lateral acceleration yaw rate and the vehicle parameters. Performance and robustness of the estimator are evaluated through numerical simulations, using various scenarios.
Keywords :
fuzzy control; fuzzy set theory; observers; road vehicles; robust control; Takagi-Sugeno fuzzy observer; lateral acceleration yaw rate; observer design; road adhesion conditions; robust observer; roll angle; roll rate; vehicle rollover prevention; Acceleration; Accelerometers; Automotive engineering; Control systems; Goniometers; Robustness; Stability; Vehicle driving; Vehicle dynamics; Vehicle safety;
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.2009.5227837
Filename :
5227837
Link To Document :
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