• DocumentCode
    2852876
  • Title

    PID admittance control for an upper limb exoskeleton

  • Author

    Wen Yu ; Rosen, J. ; Xiaoou Li

  • Author_Institution
    Dept. de Control Automatico, CINVESTAV IPN, Mexico City, Mexico
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    1124
  • Lastpage
    1129
  • Abstract
    The unique exoskeleton system (EXO-UL7) in UCSC is controlled in two levels. The lower-level uses standard PID control. Three force sensors in the upper-level send desired trajectories to the lower-level. The impedance/admittance control can is limit both internal and contact forces. It is impossible to design a model-based impedance/admittance control when the model of the exoskeleton is unavailable. In this paper, a model-free PID type admittance control is applied, whose parameters can be designed by human impedance properties. The inverse kinematics are required when the desired trajectories generated by admittance control in task space. It is difficult to solve the inverse kinematics problem especially when the robots are redundant, such as exoskeleton system. In this paper, we put both the upper-level PID admittance control and the lower-level linear PID control in task space. Novel sufficient conditions of semiglobal asymptotic stability are proposed via stability analysis in task space. These conditions give an explicit selection method of PID gains.
  • Keywords
    asymptotic stability; electric variables control; force sensors; redundant manipulators; three-term control; EXO-UL7; PID admittance control; PID gain; contact force; force sensor; human impedance property; internal force; inverse kinematics; linear PID control; model-based admittance control; model-based impedance control; model-free PID control; redundant robots; robot manipulators; semiglobal asymptotic stability; stability analysis; upper limb exoskeleton system; Admittance; Aerospace electronics; Exoskeletons; Force; Humans; Impedance; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5991147
  • Filename
    5991147