Title :
Modeling and Nonlinear Adaptive Control for Autonomous Vehicle Overtaking
Author :
Petrov, Plamen ; Nashashibi, Fawzi
Author_Institution :
Fac. of Mech. Eng., Tech. Univ. of Sofia, Sofia, Bulgaria
Abstract :
In this paper, we present a mathematical model and adaptive controller for an autonomous vehicle overtaking maneuver. We consider the problem of an autonomous three-phase overtaking without the use of any roadway marking scheme or intervehicle communication. The developed feedback controller requires information for the current relative intervehicle position and orientation, which are assumed to be available from onboard sensors. We apply standard robotic nomenclature for translational and rotational displacements and velocities and propose a general kinematic model of the vehicles and the relative intervehicle kinematics during the overtaking maneuver. The overtaking maneuver is investigated as a tracking problem with respect to desired polynomial virtual trajectories for every phase, which are generated in real time. An update control law for the automated overtaking vehicle is designed that allows tracking the desired trajectories in the presence of unknown velocity of the overtaken vehicle. Simulation results illustrate the performance of the proposed controller.
Keywords :
adaptive control; asymptotic stability; closed loop systems; feedback; matrix algebra; mobile robots; nonlinear control systems; polynomials; road vehicles; robot kinematics; trajectory control; velocity control; asymptotic stability; automated overtaking vehicle; autonomous three-phase overtaking; autonomous vehicle overtaking maneuver; closed-loop system; current relative intervehicle position information; feedback controller; intervehicle communication; intervehicle kinematics; intervehicle orientation; mathematical model; nonlinear adaptive control; onboard sensors; overtaken vehicle unknown velocity; polynomial virtual trajectory; roadway marking; robotic nomenclature; rotational displacement; tracking problem; transformation matrix; translational displacement; update control law; vehicle kinematic model; Adaptive control; Mathematical model; Mobile robots; Trajectory; Vehicles; Wheels; Adaptive control; autonomous vehicles; intelligent transportation system; lateral and longitudinal control;
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
DOI :
10.1109/TITS.2014.2303995