• DocumentCode
    1576937
  • Title

    Robot manipulators output regulation: Position measurements approach

  • Author

    Ordaz, Patricio ; Muñoz, Filiberto ; Espinoza, E.S.

  • Author_Institution
    Robot. & Adv. Electron. Res. Lab., Polytech. Univ. of Pachuca, Zempoala, Mexico
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In order to demonstrate exponential convergence for Mechanical Lagrangian Systems (when not all states are available to be measured), in this paper we present a controller based on nonlinear state estimation. The present methodology is based only in the joint velocities estimation of the robot manipulators. Its well known that in the case of robot manipulators, the optical incremental encoders are widely used to monitor joint position information. However, joint velocities can be measured only by processing of position data (by filtering or by state estimation). In this paper, we present a new method for velocity estimation of robotic joint by using only the position and the knowledge of the robot dynamics. The knowledge of system dynamics for the design of non linear observers (Luemberger-type for linear systems) is fundamental to define global stability. One of the main results is the Global Asymptotic Convergence of the system state estimates to their true values. Finally, in order to define exponential stability we used a particular Lyapunov function.
  • Keywords
    Lyapunov methods; asymptotic stability; convergence; manipulators; nonlinear estimation; observers; position control; position measurement; Lyapunov function; exponential convergence; exponential stability; global asymptotic convergence; global stability; joint position information; joint velocities estimation; joint velocity; mechanical Lagrangian systems; nonlinear observers; nonlinear state estimation; optical incremental encoder; position data; position measurement approach; robot dynamics; robot manipulators output regulation; system dynamics; system state estimate; velocity estimation; Equations; Manipulators; Mathematical model; Observers; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Robotics (ICAR), 2013 16th International Conference on
  • Conference_Location
    Montevideo
  • Type

    conf

  • DOI
    10.1109/ICAR.2013.6766570
  • Filename
    6766570