DocumentCode
630540
Title
Experimental evaluation of optimal Vehicle Dynamic Control based on the State Dependent Riccati Equation technique
Author
Alirezaei, Mohsen ; Kanarachos, S. ; Scheepers, B. ; Maurice, J.P.
Author_Institution
Integrated Vehicle Safety Dept., TNO, Helmond, Netherlands
fYear
2013
fDate
17-19 June 2013
Firstpage
408
Lastpage
412
Abstract
Development and experimentally evaluation of an optimal Vehicle Dynamic Control (VDC) strategy based on the State Dependent Riccati Equation (SDRE) control technique is presented. The proposed nonlinear controller is based on a nonlinear vehicle model with nonlinear tire characteristics. A novel extended linearization scheme of the system´s state space equations on the basis of the combined slip Pacejka tire model is developed. On-line control regulation in terms of optimal braking torque allocation is computed at each time increment by solving efficiently an Algebraic Riccati Equation. The proposed method is implemented and tested on a Jaguar XF test vehicle. The results show the effectiveness of the proposed controller in stabilizing the vehicle with less effect on the vehicle longitudinal motion.
Keywords
Riccati equations; automobiles; braking; linearisation techniques; mechanical stability; nonlinear control systems; optimal control; slip; state-space methods; torque; tyres; vehicle dynamics; Jaguar XF test vehicle; algebraic Riccati equation; combined slip Pacejka tire model; extended linearization scheme; nonlinear controller; nonlinear tire characteristics; nonlinear vehicle model; online control regulation; optimal braking torque allocation; optimal vehicle dynamic control strategy; state dependent Riccati equation control technique; system state space equations; vehicle longitudinal motion; vehicle stabilization; Computational modeling; Mathematical model; Riccati equations; Tires; Vehicle dynamics; Vehicles; Wheels;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2013
Conference_Location
Washington, DC
ISSN
0743-1619
Print_ISBN
978-1-4799-0177-7
Type
conf
DOI
10.1109/ACC.2013.6579871
Filename
6579871
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