• DocumentCode
    1018329
  • Title

    Two numerical issues in simulating constrained robot dynamics

  • Author

    Ellis, R.E. ; Ricker, S.L.

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Queen´´s Univ., Kingston, Ont., Canada
  • Volume
    24
  • Issue
    1
  • fYear
    1994
  • fDate
    1/1/1994 12:00:00 AM
  • Firstpage
    19
  • Lastpage
    27
  • Abstract
    A common approach to formulating the dynamics of closed-chain mechanisms requires finding the forces of constraint at the loop closures. However, there are indications that this approach leads both to ill conditioned systems that must be inverted and to numerically unstable differential equations of motion. We derive a sufficient condition for ill conditioning of augmented dynamical systems-that the mechanism´s trajectory passes through, or very near, a kinematic singularity. In singular regions the equations of motion are also numerically stiff, and they frequently require special numerical methods for computer solution. We propose a new method of calculating closed-chain dynamics, based on the systematic elimination of variables that are both redundant and that may adversely affect the computations. This approach produces numerically stable solutions of the differential equations of motion, and the equations are apparently much less stiff than the equations produced by the traditional force-closure approach
  • Keywords
    differential equations; dynamics; kinematics; manipulators; closed-chain mechanisms; constrained robot dynamics; dynamics; ill conditioned systems; kinematic singularity; loop closures; numerical issues; numerically unstable differential equations of motion; sufficient condition; Differential equations; Intelligent robots; Kinematics; Lagrangian functions; Manipulator dynamics; Numerical simulation; Stability; Sufficient conditions; Symmetric matrices; Transmission line matrix methods;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/21.259682
  • Filename
    259682