• DocumentCode
    1300542
  • Title

    Adaptive motion/force control of multiple manipulators with joint flexibility based on virtual decomposition

  • Author

    Zhu, Wen-Hong ; Bien, Zeungnam ; De Schutter, Joris

  • Author_Institution
    Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
  • Volume
    43
  • Issue
    1
  • fYear
    1998
  • fDate
    1/1/1998 12:00:00 AM
  • Firstpage
    46
  • Lastpage
    60
  • Abstract
    In this paper, a virtual decomposition-based adaptive motion/force control scheme is presented to deal with the control problem of coordinated multiple manipulators with flexible joints holding a common object in contact with the environment. The control scheme is essentially a generalized Newton-Euler approach in which the original system is virtually decomposed into several subsystems, including the held object, the rigid links, and the flexible joints, so that the control problem of the original system can be greatly simplified. An interesting result is that the dynamic coupling between every two physically connected subsystems is completely represented by the so-called virtual power flow (VPF) at the cutting point between them. The VPF takes a very simple form and is very easy to handle. Control design of the constraint/internal forces can be performed with respect to the held object. Asymptotic stability of the overall system is ensured in the sense of Lyapunov. Computer simulations of two manipulators transporting an object in the plane are given to show the validity of the proposed scheme
  • Keywords
    Lyapunov methods; adaptive control; asymptotic stability; force control; manipulator dynamics; manipulator kinematics; motion control; Lyapunov method; Newton-Euler method; adaptive control; asymptotic stability; control design; dynamics; flexible joint robots; force control; kinematics; motion control; multiple manipulators; virtual decomposition; virtual power flow; Adaptive control; Control systems; Force control; Manipulator dynamics; Mechanical systems; Mechanical variables control; Production engineering; Programmable control; Robot control; Robot kinematics;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.654886
  • Filename
    654886