Title :
Linear robust control of mechanical manipulators
Author_Institution :
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
Abstract :
A linear feedback control scheme for trajectory tracking is presented. It is shown to be robust against model uncertainties. The scheme is based on an eigen-analysis of the inertia matrix of the mechanical manipulator considered and a least-squares-type approximation of the Coriolis, centrifugal, and gravity terms in the manipulator´s dynamics. The eigen-analysis and least-squares approximation lead to a simple yet reasonable model which in turn defines a structure of the constant feedback control. To determine the parameters of this controller, an analysis of the tracking-error dynamics is carried out using a Lyapunov approach. It turns out that, by properly choosing a set of feedback gains, the tracking error can be kept to a prescribed range during the task in the presence of the gravity effect and model uncertainties
Keywords :
Lyapunov methods; control system analysis; eigenvalues and eigenfunctions; feedback; least squares approximations; position control; robots; stability; Coriolis force; Lyapunov approach; centrifugal force; eigen-analysis; gravity terms; inertia matrix; least-squares-type approximation; linear control; linear feedback control; mechanical manipulators; model uncertainties; robust control; tracking-error dynamics; trajectory tracking; DC motors; Equations; Feedback control; Gravity; Hydraulic actuators; Industrial control; Manipulator dynamics; Robust control; Trajectory; Uncertainty;
Conference_Titel :
Intelligent Control, 1988. Proceedings., IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
0-8186-2012-9
DOI :
10.1109/ISIC.1988.65470