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Mindmap

Adaptive Manipulator Control: A Case Study

Johann Andrés Argüello CRUZ Spanisch

Adaptive Manipulator Control: A Case Study

Inhalt der Mindmap

Adaptive Manipulator Control: A Case Study

  1. JEAN-JACQUES E. SLOTINE, WEIPING LI

  2. Manipulator Model

    • where q is the n x 1 vector of joint displacements
    • T is the n x 1 vector of applied joint torques (or forces)
    • g(q) is the n x 1 vector of gravitational torques.
    • H(q) is the n x n symmetric positive definite manipulator inertia matrix
    • C(q, q)q is the n x 1 vector of centripetal and Coriolis torques
  3. Controller Design

    • 1) given the desired joint position qd(t), and with some or all the manipulator parameters unknown
    • 2) derive a control law for the actuator torques, and an estimation law for the unknown parameters
    • 3) the manipulator joint position q(t) precisely tracks qd( t) after an initial adaptation process
  4. The structure of the adaptive controller given by (3) and (4)

    • special form of full dynamics compensation, with three terms corresponding to inertial, centripetal and Coriolis, and gravitational torques
      • based on the estimated parameters, attempts to provide the joint dynamic torques necessary to make the desired motions
    • actually contains two terms representing PD feedback

Bilder und Dateien der Mindmap

  • Adaptive Manipulator Control: A Case Study
  • Adaptive Manipulator Control: A Case Study
  • Adaptive Manipulator Control: A Case Study

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Mindmap am Adaptive Manipulator Control: A Case Study, erstellt von Johann Andrés Argüello CRUZ am 29/05/2016.
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