• DocumentCode
    1805122
  • Title

    A method for on-line identification of mechanical system including nonlinear friction

  • Author

    Toyozawa, Yukio ; Sonoda, Naoto ; Harada, Hiroshi ; Kashiwagi, Hiroshi

  • Author_Institution
    Kyushu Branch Office, FANUC Corp., Kumamoto, Japan
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    847
  • Lastpage
    850
  • Abstract
    This paper describes a practical method to identify mechanical parameters such as inertia and nonlinear friction. In the proposed method, mechanical system is represented as an inverse transfer function model and a low-pass filtered M-sequence is used as an input signal. The mechanical parameters are estimated by using steepest descent method with a dead band. From the results of numerical simulation and experiment, it is shown that the proposed method is very effective from practical point of view.
  • Keywords
    friction; gradient methods; inverse problems; m-sequences; inertia; inverse transfer function model; low pass filtered M-sequence; mechanical parameters online identification method; nonlinear friction; steepest descent method; Angular velocity; Friction; Mathematical model; Mechanical systems; Powders; Servomotors; Torque; Identification; M-sequence; Nonlinear friction; Steepest descent method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ASCC), 2011 8th Asian
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-61284-487-9
  • Electronic_ISBN
    978-89-956056-4-6
  • Type

    conf

  • Filename
    5899182