DocumentCode :
629558
Title :
Direct model reference adaptive tracking control of wheeled mobile robot
Author :
Canigur, Emine
Author_Institution :
Electr. & Electron. Eng. Dept., Eskisehir Osmangazi Univ., Eskisehir, Turkey
fYear :
2013
fDate :
19-21 June 2013
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents a model reference adaptive control (MRAC) scheme for trajectory tracking of a nonholonomic wheeled mobile robot (WMR) in presence of parametric uncertainty in its dynamic model. The integration of a kinematic controller and a dynamic controller for the dynamic model of a nonholonomic mobile robot has been presented. First, feedback velocity control inputs are designed for the kinematic steering system to make the position error asymtotically stable. Second, a feedback velocity-following control law is designed such that the mobile robot´s velocities converge asymtotically to the given velocity inputs. The adaptive controller designed based on the dynamic model provides the voltages of the robot actuators for yielding the required velocities. This means point stabilization. Simulations also demonstrate the good performance of the proposed control scheme under the presence of the dynamic parameter uncertainties.
Keywords :
actuators; asymptotic stability; control system synthesis; feedback; mobile robots; model reference adaptive control systems; robot dynamics; robot kinematics; steering systems; trajectory control; velocity control; wheels; MRAC scheme; WMR trajectory tracking; adaptive controller design; direct model reference adaptive tracking control; dynamic model; dynamic parameter uncertainties; feedback velocity control inputs; feedback velocity-following control law; kinematic controller; kinematic steering system; mobile robot velocities; nonholonomic wheeled mobile robot trajectory tracking; position error asymptotic stability; robot actuators; Adaptation models; Robots; Tracking; adaptive control; mobile robots; trajectory tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA), 2013 IEEE International Symposium on
Conference_Location :
Albena
Print_ISBN :
978-1-4799-0659-8
Type :
conf
DOI :
10.1109/INISTA.2013.6577653
Filename :
6577653
Link To Document :
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