Efficient control of robot manipulators with model disturbances

Santiago Torres, Juan A. Méndez, Leopoldo Acosta, Victor M. Becerra, Jonay Toledo, Marta Sigut

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The aim of this work is to present a new adaptive strategy for articulated robotic systems in order to reject adequately the tracking errors due to disturbances in the model. The technique is based on a well known robust controller for robotic manipulators proposed by Spong, which is derived using Lyapunov's direct method. The adaptation law acts in an essential parameter of the robust controller, the uncertainty bound parameter, in order to improve its performance. This paper presents real-time experimental results with a Puma-560 robot, comparing the performance of the new strategy with the classical PD controller with gravity compensation and with Spong's robust controller, in case of model uncertainties. It is shown that the adaptive controller improves the performance of previous control strategies
    Original languageEnglish
    Title of host publication2006 45th IEEE Conference on Decision and Control
    Place of PublicationPiscataway
    PublisherIEEE
    Pages2931 - 2936
    ISBN (Print)1424401712
    DOIs
    Publication statusPublished - 2006

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