DocumentCode :
2517450
Title :
Fuzzy Takagi-Sugeno LQ controller for lateral control assistance of a vehicle
Author :
Soualmi, B. ; Sentouh, C. ; Popieul, J.C. ; Debernard, S.
Author_Institution :
Univ. Lille Nord de France, Lille, France
fYear :
2012
fDate :
3-7 June 2012
Firstpage :
377
Lastpage :
382
Abstract :
This paper describes a concept of lane keeping assistance system based on the fuzzy Takagi-Sugeno (T-S) optimal controller. Nonlinearities due to longitudinal velocity variation in the lateral dynamics are considered to give a T-S representation and Linear Matrix Inequalities (LMI) are used to reach the appropriate T-S optimal controller that insure the global stability of the closed loop system. In conclusion the effectiveness of the proposed approach is illustrated in Matlab/Simulink and experimental tests carried out on the ”SHERPA” (Simulateur Hybride d´Etude et de Recherche de PSA pour l´Automobile) simulator.
Keywords :
automobiles; closed loop systems; control nonlinearities; digital simulation; fuzzy control; linear matrix inequalities; linear quadratic control; mathematics computing; stability; vehicle dynamics; LMI; Matlab-Simulink; SHERPA simulator; Simulateur Hybride d Etude et de Recherche de PSA pour l Automobile; T-S optimal controller; T-S representation; closed loop system; fuzzy Takagi-Sugeno LQ controller; fuzzy Takagi-Sugeno optimal controller; global stability; lane keeping assistance system; lateral dynamics; linear matrix inequalities; linear quadratic control; longitudinal velocity variation nonlinearities; vehicle lateral control assistance; Mathematical model; Stability analysis; Torque; Trajectory; Vectors; Vehicle dynamics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2012 IEEE
Conference_Location :
Alcala de Henares
ISSN :
1931-0587
Print_ISBN :
978-1-4673-2119-8
Type :
conf
DOI :
10.1109/IVS.2012.6232249
Filename :
6232249
Link To Document :
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