• DocumentCode
    1637498
  • Title

    Robust time-optimal feedback control of robotic manipulators with motor dynamics and parameter variations

  • Author

    Lyashevskiy, Sergey ; Chen, Yaobin

  • Author_Institution
    Dept. of Electr. Eng., Purdue Univ., Indianapolis, IN, USA
  • Volume
    1
  • fYear
    1994
  • Firstpage
    820
  • Abstract
    In order to have a deep insight into the dynamics and the problem of optimization of robots, it is necessary to take into account nonlinear dynamics and uncertainties. In this paper, the nonlinear model of manipulator with DC motors is derived. The concept, theory, and problems that are pertinent to the synthesis of mathematical models and the robust minimum-time controllers design are discussed. A robust optimization procedure for nonlinear uncertain systems is described. The results of synthesis of the robust minimum-time control strategy are presented based upon minimization of a new class of nonquadratic indexes. The proposed scheme is feasible and provides the computational efficiency. A typical example of j-th coordinate of the manipulator with DC motor is treated
  • Keywords
    DC motor drives; dynamics; feedback; nonlinear control systems; optimal control; optimisation; real-time systems; robots; robust control; uncertain systems; DC motors; feedback control; motor dynamics; nonlinear model; nonlinear uncertain systems; nonquadratic indexes; optimization; parameter variations; robotic manipulators; robust minimum-time controllers; time-optimal control; Control system synthesis; DC motors; Feedback control; Manipulator dynamics; Mathematical model; Robot kinematics; Robust control; Robustness; Uncertain systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
  • Conference_Location
    Lake Buena Vista, FL
  • Print_ISBN
    0-7803-1968-0
  • Type

    conf

  • DOI
    10.1109/CDC.1994.410968
  • Filename
    410968