DocumentCode
3442289
Title
LTV-MPC approach for lateral vehicle guidance by front steering at the limits of vehicle dynamics
Author
Katriniok, Alexander ; Abel, Dirk
Author_Institution
Dept. of Mech. Eng., RWTH Aachen Univ., Aachen, Germany
fYear
2011
fDate
12-15 Dec. 2011
Firstpage
6828
Lastpage
6833
Abstract
In this paper, a linear time-varying model-based predictive controller (LTV-MPC) for lateral vehicle guidance by front steering is proposed. Due to the fact that this controller is designed in the scope of a Collision Avoidance System, it has to fulfill the requirement of an appropiate control performance at the limits of vehicle dynamics. To achieve this objective, the introduced approach employs estimations of the applied steering angle as well as the state variable trajectory to be used for successive linearization of the nonlinear prediction model over the prediction horizon. To evaluate the control performance, the proposed controller is compared to a LTV-MPC controller that uses linearizations of the nonlinear prediction model that remain unchanged over the prediction horizon. Simulation results show that an improved control performance can be achieved by the estimation based approach.
Keywords
collision avoidance; control system synthesis; linear systems; linearisation techniques; nonlinear control systems; predictive control; state estimation; steering systems; time-varying systems; traffic control; vehicle dynamics; LTV-MPC approach; appropiate control performance; collision avoidance system; controller design; estimation-based approach; front steering angle; lateral vehicle guidance; linear time-varying model-based predictive controller; nonlinear prediction model; nonlinear prediction model successive linearization; prediction horizon; state variable trajectory; vehicle dynamics; Estimation; Mathematical model; Optimization; Predictive models; Tires; Vehicle dynamics; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location
Orlando, FL
ISSN
0743-1546
Print_ISBN
978-1-61284-800-6
Electronic_ISBN
0743-1546
Type
conf
DOI
10.1109/CDC.2011.6161257
Filename
6161257
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