• DocumentCode
    638849
  • Title

    Optimal reconfiguration of parallel manipulators for the maximum dynamic wrench capability

  • Author

    Chun-Ta Chen ; Guan-Lin Jin ; Chiang-Ho Cheng

  • Author_Institution
    Dept. of Mechatron. Technol., Nat. Taiwan Normal Univ., Taipei, Taiwan
  • fYear
    2013
  • fDate
    4-7 Aug. 2013
  • Firstpage
    627
  • Lastpage
    632
  • Abstract
    This paper proposes an optimization approach to the maximum dynamic wrench capability of a reconfigurable motor-driven parallel manipulator. The focus is on determination of the optimal reconfiguration which accomplishes the prescribed motion for the maximum dynamic wrench capability subject to the constraints imposed by the kinematics and dynamics of the manipulator structure. In this study, the dynamics model for the dynamic wrench capability analysis is first formulated in a structured linear parameter matrix-vector form, and then the optimal configuration is obtained by a two-loop of optimization process. This geometry adjustment can be achieved by displacing the base points along the linear guideways. The numerical results present the effects of the base point locations on the maximum dynamic wrench capability and demonstrate the effectiveness of the proposed algorithm for the improvement of the maximum dynamic wrench capability of parallel manipulators.
  • Keywords
    geometry; manipulator dynamics; matrix algebra; optimisation; vectors; base point locations; geometry adjustment; linear guideways; manipulator structure dynamics; manipulator structure kinematics; maximum dynamic wrench capability; optimal reconfiguration; optimization approach; reconfigurable motor-driven parallel manipulator; structured linear parameter matrix-vector form; two-loop; Dynamics; Force; Geometry; Manipulator dynamics; Optimization; Trajectory; Vectors; Reconfiguration; differential evolution; dynamic wrench capability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2013 IEEE International Conference on
  • Conference_Location
    Takamatsu
  • Print_ISBN
    978-1-4673-5557-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2013.6617989
  • Filename
    6617989