• DocumentCode
    2039040
  • Title

    An eigenscrew analysis of mechanism compliance

  • Author

    McAllister, P.L. ; Ellis, R.E.

  • Author_Institution
    Dept. of Mech. Eng., Queen´´s Univ., Kingston, Ont., Canada
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    3308
  • Abstract
    Determination of the magnitudes and directions of the constraints of a mechanical system can be achieved by finding the basis of the system´s characteristics compliance matrix. When little is known about the geometry of the system, conventional methods cannot be used to calculate the system´s compliance matrix. A new method has been developed that uses experimental data to calculate a passive system´s compliance matrix,and an eigenvalue decomposition to extract the directions and magnitudes of the system constraints. The data were wrenches applied to the system and the mechanism´s resulting displacement from equilibrium. Computer simulations suggest that the method reliably finds eigenscrew pitches, compliances and directions for well-conditioned matrices. Eigenscrew pitches and compliances can be found for ill-conditioned matrices. This analytical technique can be used to evaluate the static behaviour of a system. It may prove valuable as a design and analysis tool for biomechanics, robotics and automation
  • Keywords
    digital simulation; manipulators; matrix algebra; mechanical engineering; automation; biomechanics; compliance matrix; eigenscrew analysis; eigenscrew pitches; eigenvalue decomposition; ill-conditioned matrices; mechanism compliance; passive system; robotics; well-conditioned matrices; Data mining; Eigenvalues and eigenfunctions; Geometry; Information science; Jacobian matrices; Matrix decomposition; Mechanical engineering; Mechanical systems; Principal component analysis; Springs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-5886-4
  • Type

    conf

  • DOI
    10.1109/ROBOT.2000.845173
  • Filename
    845173