• DocumentCode
    951211
  • Title

    Impulse-Based Control of Joints and Muscles

  • Author

    Weinstein, Rachel ; Guendelman, Eran ; Fedkiw, Ron

  • Author_Institution
    Stanford Univ. & Ind. Light & Magic, San Francisco
  • Volume
    14
  • Issue
    1
  • fYear
    2008
  • Firstpage
    37
  • Lastpage
    46
  • Abstract
    We propose a novel approach to proportional derivative (PD) control exploiting the fact that these equations can be solved analytically for a single degree of freedom. The analytic solution indicates what the PD controller would accomplish in isolation without interference from neighboring joints, gravity and external forces, outboard limbs, etc. Our approach to time integration includes an inverse dynamics formulation that automatically incorporates global feedback so that the per joint predictions are achieved. This effectively decouples stiffness from control so that we obtain the desired target regardless of the stiffness of the joint, which merely determines when we get there. We start with simple examples to illustrate our method and then move on to more complex examples including PD control of line segment muscle actuators.
  • Keywords
    PD control; bone; closed loop systems; computer animation; feedback; gait analysis; medical computing; medical control systems; muscle; orthopaedics; feedback; gait analysis; human joint; impulse-based control; inverse dynamics formulation; muscle; proportional derivative control; Animation; Computer Graphics; Kinematics and dynamics; Physically based modeling; Algorithms; Computer Graphics; Computer Simulation; Feedback; Humans; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Joints; Models, Biological; Movement; Muscle Contraction; Muscle, Skeletal; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2007.70437
  • Filename
    4359505