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An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
Published on: March 10, 2011
Global asymptotic stability of a tracking sectorial fuzzy controller for robot manipulators
Victor Santibañez1, Rafael Kelly, Miguel A Llama
1Instituto Tecnológico de la Laguna, Torreón Coahuila, Mexico. vsantiba@italaguna.edu.mx
Abstract:
This paper shows that fuzzy control systems satisfying sectorial properties are effective for motion tracking control of robot manipulators. We propose a controller whose structure is composed by a sectorial fuzzy controller plus a full nonlinear robot dynamics compensation, in such a way that this structure leads to a very simple closed-loop system represented by an autonomous nonlinear differential equation. We demonstrate via Lyapunov theory, that the closed-loop system is globally asymptotically stable. Experimental results show the feasibility of the proposed controller.
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