• DocumentCode
    2062279
  • Title

    Robust state dependent Riccati equation based robot manipulator control

  • Author

    Xin, Ming ; Balakrishnan, S.N. ; Huang, Zhongwu

  • Author_Institution
    Dept. of Mech. & Aerosp. Eng. & Eng. Mech., Missouri Univ., Rolla, MO, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    369
  • Lastpage
    374
  • Abstract
    We present a new optimal control approach to robust control of robot manipulators in the framework of state dependent Riccati equation (SDRE) technique. To treat this highly nonlinear control system, we formulate it as a nonlinear optimal regulator problem. SDRE technique was used to synthesize an optimal controller to this class of robot control problem. We also synthesize a neural network based extra controller to achieve the robustness in the presence of the parameter uncertainties. A typical two-link robot position control problem was studied to show the effectiveness of SDRE approach and robust extra control design to robotic application
  • Keywords
    Riccati equations; control system synthesis; manipulators; neurocontrollers; nonlinear control systems; optimal control; robust control; SDRE technique; highly-nonlinear control system; neural network controller; optimal control synthesis; parameter uncertainties; robust state-dependent Riccati-equation-based robot manipulator control; two-link robot position control; Control system synthesis; Manipulators; Network synthesis; Nonlinear control systems; Nonlinear equations; Optimal control; Riccati equations; Robots; Robust control; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 2001. (CCA '01). Proceedings of the 2001 IEEE International Conference on
  • Conference_Location
    Mexico City
  • Print_ISBN
    0-7803-6733-2
  • Type

    conf

  • DOI
    10.1109/CCA.2001.973893
  • Filename
    973893