Title :
Robust Roll and Yaw control systems using fuzzy model of the vehicle dynamics
Author :
Daraoui, Nawal ; Pages, O. ; El Hajjaji, A.
Author_Institution :
Lab. Modelling, Inf. & Syst., Univ. of Picardie Jules Verne, Amiens, France
Abstract :
This paper introduces a methodology for robust control of vehicle dynamics. The vehicle lateral behavior with roll dynamics is described by Takagi-Sugeno (TS) model. A fuzzy observer is first developed to estimate the vehicle sideslip angle as well as the roll parameters using the yaw rate measurement, while taking into account the road bank angle and the unmeasurable premise variables of the TS model. The objective of this study is the design of an observer-based controller to improve the stability and vehicle safety with perturbations related to the nonlinearities of the contact forces, the variations of the adhesion coefficients, the road bank angle. The proposed observer based controller is represented in the linear matrix inequality (LMI) form. The simulation results show the effectiveness of the proposed control method when different cornering maneuvers are applied to the vehicle.
Keywords :
control nonlinearities; force control; fuzzy control; linear matrix inequalities; observers; perturbation techniques; road vehicles; robust control; vehicle dynamics; LMI form; TS model; Takagi-Sugeno model; adhesion coefficient variation; contact force nonlinearities; cornering maneuvers; fuzzy model; fuzzy observer-based controller; linear matrix inequality form; perturbations; road bank angle; robust roll-yaw control systems; roll dynamics; roll parameters; vehicle dynamics; vehicle lateral behavior; vehicle safety; vehicle sideslip angle estimation; vehicle stability; yaw rate measurement; Mathematical model; Observers; Roads; Robustness; Tires; Vehicle dynamics; Vehicles; LMI; LTRd; Takagi-Sugeno fuzzy model; lateral dynamics; roll dynamics; sideslip angle estimation; unmeasurable premise functions; vehicle skid control;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1507-4
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZ-IEEE.2012.6251328