• DocumentCode
    2333106
  • Title

    Identification of robot dynamics with differential and integral models: a comparison

  • Author

    Prufer, M. ; Schmidt, C. ; Wahl, E.

  • Author_Institution
    Inst. for Robotics & Comput. Control, Tech. Univ. Braunschweig, Germany
  • fYear
    1994
  • fDate
    8-13 May 1994
  • Firstpage
    340
  • Abstract
    Compares the integral model suggested by Gautier and Khalil (1988, 1989) for identification of robot dynamics with the differential equations of the robot. The advantage of identification by the integral model is, that no measurement of acceleration is required. Although appealing at a first glance, this approach yields problems in conjunction with the necessary least squares algorithm for parameter estimation. The authors even succeed in getting better results by employing the differential equations, without measurement of acceleration. It is shown, how to achieve reasonable good results with low noise by just derivating the position signals. Finally, the authors´ results are illustrated by experiments with a direct driven two link robot
  • Keywords
    differential equations; dynamics; identification; integral equations; parameter estimation; robots; differential equations; differential models; direct driven two link robot; identification; integral models; necessary least squares algorithm; parameter estimation; position signals; robot dynamics; Acceleration; Accelerometers; Differential equations; Friction; Integral equations; Parameter estimation; Position measurement; Robot control; Robot sensing systems; Service robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-8186-5330-2
  • Type

    conf

  • DOI
    10.1109/ROBOT.1994.351272
  • Filename
    351272