• DocumentCode
    1379002
  • Title

    A decomposition of the manipulator inertia matrix

  • Author

    Saha, Subir Kumar

  • Author_Institution
    Dept. of Mech. Eng., Indian Inst. of Technol., New Delhi, India
  • Volume
    13
  • Issue
    2
  • fYear
    1997
  • fDate
    4/1/1997 12:00:00 AM
  • Firstpage
    301
  • Lastpage
    304
  • Abstract
    A decomposition of the manipulator inertia matrix is essential, for example, in forward dynamics, where the joint accelerations are solved from the dynamical equations of motion. To do this, unlike a numerical algorithm, an analytical approach is suggested in this paper. The approach is based on the symbolic Gaussian elimination of the inertia matrix that reveal recursive relations among the elements of the resulting matrices. As a result, the decomposition can be done with the complexity of order n, O(n), where n being the degrees of freedom of the manipulator, as opposed to an O(n3) scheme, required in the numerical approach. In turn, O(n) inverse and forward dynamics algorithms can be developed. As an illustration, an O(n) forward dynamics algorithm is presented
  • Keywords
    computational complexity; manipulator dynamics; matrix algebra; motion control; symbol manipulation; Kalman filtering; articulated body inertia; computational complexity; forward dynamics; inertia matrix; inverse dynamics; joint accelerations; reverse Gaussian elimination; serial manipulator; symbolic decomposition; Automatic control; Books; Capacitive sensors; Friction; Gravity; Manipulator dynamics; Matrix decomposition; Nails; Robotics and automation; Service robots;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/70.563652
  • Filename
    563652