A Novel Adaptive Control Algorithm in application to a humanoid robot arm

Muhammad Nasiruddin Mahyuddin, Guido Herrmann, Said G Khan

    Research output: Chapter in Book/Conference proceedingChapterpeer-review

    Abstract

    A novel adaptive control algorithm was proposed and implemented in real-time on 2 degrees-of-freedom (DOF) of the humanoid Bristol-Elumotion-Robotic-Torso II (BERT II) arm in joint-space. The algorithm features a sliding-mode term based adaptive law that captures directly the parameter estimation error. By virtue of an introduced auxiliary filtered regression matrix, vector and filtered computed torque, parameter error convergence to zero can be guaranteed with a Persistent-Excitation(p.e.) condition ensured within finite-time. It will be shown practically that the parameter estimation algorithm can improve tracking in comparison to the usual tracking error based parameter estimation schemes.
    Original languageEnglish
    Title of host publicationADVANCES IN AUTONOMOUS ROBOTICS
    Place of PublicationBerlin
    PublisherSpringer Nature
    Pages25-36
    Number of pages12
    Volume7429
    ISBN (Print)978-3-642-32526-7
    DOIs
    Publication statusPublished - Aug 2012

    Publication series

    NameLecture Notes in Computer Science

    Keywords

    • adaptive control
    • robotic arm
    • parameter estimation

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