• DocumentCode
    1300285
  • Title

    Linearization and sensitivity functions of dynamic robot models

  • Author

    Neuman, Charles P. ; Murray, John J.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie-Mellon Univ., Pittsburgh, PA, USA
  • Issue
    6
  • fYear
    1984
  • Firstpage
    805
  • Lastpage
    818
  • Abstract
    The authors have implemented the computer program Algebraic Robot Modeler (ARM) to generate symbolically the forward solution and complete dynamic robot model for control engineering applications. ARM incorporates the Q-matrix formulation of the Lagrangian (Lagrange-Euler) dynamic robot model. The symbolic formulation of dynamic robot models is extended in two directions: Q-matrices and the Bejczy theorem are applied to linearize symbolically the Lagrangian dynamic robot model about a nominal trajectory; and a methodology is developed to generate symbolically the trajectory sensitivity models of a manipulator with respect to the kinematic and dynamic link parameters. The classical sensitivity point method is thereby extended to include dynamic robot models. Control engineering applications of the linearized and sensitivity models are described. The properties and structural characteristics of these models are identified, and the computational requirements for their implementation in ARM are estimated. The results are illustrated through the double pendulum.
  • Keywords
    digital simulation; linearisation techniques; robots; sensitivity analysis; Algebraic Robot Modeler; Bejczy theorem; computer program; dynamic link parameters; dynamic robot models; kinematic link parameter; linearisation; sensitivity functions; structural characteristics; trajectory; Computational modeling; Joints; Manipulator dynamics; Robot kinematics; Robot sensing systems; Sensitivity;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/TSMC.1984.6313309
  • Filename
    6313309