Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334) 2000
DOI: 10.1109/acc.2000.878637
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A high-gain observer-based PD control for robot manipulator

Abstract: In this paper, the popular PD control of robot manipulator is modified. A high-gain observer is proposed for the estimation of the velocity. The main contributions of this paper are: (1) By means of singular perturbation analysis, we prove that the closed-loop system is asymptotic stable; (2) We solve the problem of how faster the observer should be than the observer-based control.

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Cited by 25 publications
(15 citation statements)
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“…For example, assuming uncertainties known in the system, the popular PD control of robot manipulator was modified in [2], and a high-gain observer was proposed for the estimation of the velocity. Assuming that some of the tracking error coordinates are not measurable, an observer based controller resulting in K-exponential convergence of the tracking error was introduced in [3].…”
Section: Introductionmentioning
confidence: 99%
“…For example, assuming uncertainties known in the system, the popular PD control of robot manipulator was modified in [2], and a high-gain observer was proposed for the estimation of the velocity. Assuming that some of the tracking error coordinates are not measurable, an observer based controller resulting in K-exponential convergence of the tracking error was introduced in [3].…”
Section: Introductionmentioning
confidence: 99%
“…In [20], singular perturbations are used to derive a tracking controller for electrically driven robot manipulators. The popular PD control of robot manipulator is modified in [21]. Specifically, a high-gain observer was proposed for the estimation of the velocity and, by means of singular perturbation analysis, the closed-loop system was studied.…”
Section: Introductionmentioning
confidence: 99%
“…This adjustment allows making the transfer function from δ to the error small so that the estimation error is not sensitive to the modeling error (Wang & Gao, 2003;Khalil, 1999;Heredia & Yu, 2000).…”
Section: Nonlinear Observer Based State Estimationmentioning
confidence: 99%
“…In the practical robotic systems all the generalized coordinates can be precisely measured by the encoder for each joint, but the velocity measurements obtained through the tachometers are easily perturbed by noises. To overcome these physical constraints, a nonlinear observer can be used for state estimation (Kozłowski, 2004;Rodriguez-Angeles & Nijmeijer, 2004;Heredia & Yu, 2000). The state space model of rigid robot (6), (7) can be reorganized as…”
Section: Nonlinear Observer Based State Estimationmentioning
confidence: 99%