• DocumentCode
    2323526
  • Title

    An optimal control approach to robust control of robot manipulators

  • Author

    Lin, Feng ; Brandt, Robert D.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
  • fYear
    1996
  • fDate
    15-18 Sep 1996
  • Firstpage
    31
  • Lastpage
    36
  • Abstract
    We present a new optimal control approach to the robust control of robot manipulators in the framework of Lin et al. Because of the unknown load placed on a manipulator and the other uncertainties in the manipulator dynamics, it is important to design a robust control law that will guarantee the performance of the manipulator under these uncertainties. To solve this robust control problem, we first translate the robust control problem into an optimal control problem, where the uncertainties are reflected in the performance index. We then use the optimal control approach to solve the robust control problem. We show that the solution to the optimal control problem is indeed a solution to the robust control problem. We illustrate this approach using a two-joint SCARA type robot, whose robust control is obtained by solving an algebraic Riccati equation
  • Keywords
    control system synthesis; manipulator dynamics; optimal control; performance index; robust control; uncertain systems; algebraic Riccati equation; manipulator dynamics; optimal control; performance index; robot manipulators; robust control; two-joint SCARA type robot; uncertainties; Differential equations; Friction; Manipulator dynamics; Optimal control; Performance analysis; Riccati equations; Robot control; Robust control; State-space methods; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 1996., Proceedings of the 1996 IEEE International Conference on
  • Conference_Location
    Dearborn, MI
  • Print_ISBN
    0-7803-2975-9
  • Type

    conf

  • DOI
    10.1109/CCA.1996.558588
  • Filename
    558588