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A FAT-based adaptive controller for robot manipulators without regressor matrix: theory and experiments

Published online by Cambridge University Press:  31 October 2005

An-Chyau Huang ,
Shi-Chang Wu  and
Wen-Fa Ting
An-Chyau Huang
Affiliation:
Department of Mechanical Engineering, National Taiwan University of Science and Technology, 43, Keelung Road, Sec. 4, Taipei (Taiwan, ROC)
Shi-Chang Wu
Affiliation:
Department of Mechanical Engineering, National Taiwan University of Science and Technology, 43, Keelung Road, Sec. 4, Taipei (Taiwan, ROC)
Wen-Fa Ting
Affiliation:
Department of Mechanical Engineering, National Taiwan University of Science and Technology, 43, Keelung Road, Sec. 4, Taipei (Taiwan, ROC)
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Abstract

In this paper, an adaptive control scheme is proposed for an n-link rigid robot manipulator without using the regressor. The robot is firstly modeled as a set of second-order nonlinear differential equations with the assumption that all of the matrices in that model are unavailable. Since these matrices are time-varying and their variation bounds are not given, traditional adaptive or robust designs do not apply. The function approximation technique (FAT) is used here to represent uncertainties in some finite linear combinations of orthonormal basis. The dynamics of the output tracking can thus be proved to be a stable first order filter driven by function approximation errors. Using the Lyapunov stability theory, a set of update laws is derived to give closed loop stability with proper tracking performance. Experiments are also performed on a 2-D robot to test the efficacy of the proposed scheme.

Keywords

RobotAdaptive controlFAT (Function Approximation Technique)
Type
Article
Information
Robotica , Volume 24 , Issue 2 , March 2006 , pp. 205 - 210
Copyright
2005 Cambridge University Press

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