• DocumentCode
    3534962
  • Title

    Global identification of mechanical and electrical parameters of asynchronous motor driven joint with a fast CLOE method

  • Author

    Robet, P. Ph ; Gautier, M.

  • Author_Institution
    IRCCyN, Univ. of Nantes, Nantes, France
  • fYear
    2013
  • fDate
    2-6 Sept. 2013
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    In many cases of new actuation of compliant controlled or bio-inspired joint driven robot, a global identification of electrical and mechanical coupled dynamics is required. This paper proposes a technique which mixes a closed loop output error method with the inverse dynamic identification model method which allows using linear least-squares technique to estimate the parameters. A first approach which has been validated on a DC motor allows a decoupled identification of the electrical and mechanical dynamics but fails to make a simultaneous identification. A major improvement of that method is proposed to carry out the coupled identification of both mechanical and electrical parameters. A validation on an asynchronous motor driven joint shows the effectiveness of the new procedure.
  • Keywords
    DC motors; closed loop systems; induction motors; least squares approximations; manipulator dynamics; parameter estimation; DC motor; asynchronous motor driven joint; bioinspired joint driven robot; closed loop output error method; decoupled identification; electrical coupled dynamics; electrical parameter estimation; fast CLOE method; global identification; inverse dynamic identification model method; linear least-squares technique; mechanical coupled dynamics; mechanical parameter estimation; DC motors; Equations; Filtering; Joints; Mathematical model; Rotors; Stators; AC machine; Estimation technique; measurement; robotics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Applications (EPE), 2013 15th European Conference on
  • Conference_Location
    Lille
  • Type

    conf

  • DOI
    10.1109/EPE.2013.6631882
  • Filename
    6631882