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Adaptive path-constrained control of a robotic manipulator in a task space

Published online by Cambridge University Press:  04 September 2006

Mirosław Galicki
Affiliation:
Institute of Medical Statistics, Computer Sciences and Documentation, Friedrich Schiller University Jena, Bachstrasse 18, D-07740 Jena, Germany Department of Mechanical Engineering, University of Zielona Góra, Podgórna 50, 65-246 Zielona Góra, Poland E-mail: [email protected]

Abstract

This study addresses the problem of adaptive controlling of both a nonredundant and a redundant robotic manipulator with state-dependent constraints. The task of the robot is to follow a prescribed geometric path given in the task space, by the end-effector. The aforementioned robot task has been solved on the basis of the Lyapunov stability theory, which is used to derive the control scheme. A new adaptive Jacobian controller is proposed in the paper for the path following of the robot, with both uncertain kinematics and dynamics. The numerical simulation results carried out for a planar redundant three-DOF (three degrees of freedom) manipulator whose end-effector follows a prescribed geometric path given in a two-dimensional (2D) task space, illustrate the trajectory performance of the proposed control scheme.

Type
Article
Copyright
2006 Cambridge University Press

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