• DocumentCode
    2669268
  • Title

    Function analysis method of human´s motion control system

  • Author

    Kawamoto, Hiroaki ; Sankai, Yoshiyuki

  • Author_Institution
    Sankai Lab., Tsukuba Univ., Ibaraki, Japan
  • Volume
    5
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    3877
  • Abstract
    The purpose of this research is to propose a quantitative analysis method to analyze the relationship between the feedforward controller and feedback controller in a motion learning process, and also to assess the effectiveness of this method by experiments. To analyze the mechanisms of the motion control systems, we propose: 1) a control gain identification method, 2) a squared-error separation method, 3) a gradient separation method, and 4) a pattern correlation method. The inverted pendulum is used to evaluate the effectiveness of these methods. Experiments show that the proposed methods are an effective way to separate the motor control system into feedforward control and feedback control. They also disclose the fact that there are two learning processes; one of which mainly performs feedback control and the other mainly feedforward control
  • Keywords
    biocontrol; feedback; feedforward; motion control; nonlinear control systems; pendulums; control gain identification method; feedback controller; feedforward controller; function analysis; gradient separation method; human motion; inverted pendulum; learning processes; motion control systems; motion learning process; pattern correlation method; squared-error separation method; Adaptive control; Automatic control; Control systems; Delay effects; Feedback control; Force feedback; Force measurement; Humans; Motion analysis; Motion control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 2000 IEEE International Conference on
  • Conference_Location
    Nashville, TN
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-6583-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.2000.886616
  • Filename
    886616