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Journal ArticleDOI

Adaptive computed torque control for rigid link manipulators

Richard H. Middleton, +1 more
- 03 Jan 1988 - 
- Vol. 10, Iss: 1, pp 9-16
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TLDR
In this paper, the adaptive control of rigid link manipulator systems is examined and linear estimation techniques together with a computed torque control law are shown to give a globally convergent adaptive system which does not require measurements of accelerations.
Citations
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Journal ArticleDOI

Adaptive motion control of rigid robots: a tutorial

TL;DR: The intent is to lend some perspective to the growing list of adaptive control results for manipulators by providing a unified framework for comparison of those adaptive control algorithms which have been shown to be globally convergent.
Journal ArticleDOI

Adaptive nonlinear regulation: estimation from the Lyapunov equation

TL;DR: In this paper, a stabilizing adaptive controller for a nonlinear system depending affinely on some unknown parameters is presented, where the adaptive law is designed using the Lyapunov equation.
Proceedings ArticleDOI

Adaptive motion control of rigid robots: a tutorial

TL;DR: The intention is to lend some perspective to the growing list of adaptive control results for manipulators by providing a unified framework for comparison of those adaptive control algorithms which have been shown to be globally convergent.
Journal ArticleDOI

Adaptation and learning using multiple models, switching, and tuning

TL;DR: A general methodology for the design of adaptive control systems which can learn to operate efficiently in dynamical environments possessing a high degree of uncertainty is presented.
Journal ArticleDOI

Adaptive regulation of nonlinear systems with unmodeled dynamics

TL;DR: In this paper, an adaptive update law which counteracts the effects of unknown parameters is shown to be robust to the unmodeled dynamics, and conditions are given for global stability of an adaptive control law designed for the reduced-order model of a class of nonlinear plants.
References
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Journal ArticleDOI

Adaptive control of mechanical manipulators

TL;DR: In this paper, an accurate dynamic model of a mechanical manipulator is used in a nonlinear, model-based scheme to control the manipulator, which yields a controllable manipulator.
Journal ArticleDOI

The application of model-referenced adaptive control to robotic manipulators

TL;DR: In this paper, a model-referenced adaptive control law is developed for maintaining uniformly good performance over a wide range of motions and payloads, and a learning signal approach is designed to minimize initial transients arising from abrupt changes in the inertial payload.
Journal ArticleDOI

A parameter estimation perspective of continuous time model reference adaptive control

TL;DR: It is shown that the convergence proofs for these algorithms may be decomposed into “modules” dealing with estimation and control, yielding a “key technical lemma” analogous to that used successfully in the study of discrete time systems.
Journal ArticleDOI

Adaptive linear controller for robotic manipulators

TL;DR: This paper presents a new approach to the position and velocity control of a manipulator by using an adaptive controller of the self-tuning type for each joint using the difference equation model and a chosen performance criterion.
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