• DocumentCode
    3423889
  • Title

    A model predictive control approach to attitude stabilization and trajectory tracking control of a 3D universal joint space robot with an initial angular momentum

  • Author

    Kai, Tatsuya

  • Author_Institution
    Fac. of Inf. Sci. & Electr. Eng., Kyushu Univ. JAPAN, Japan
  • fYear
    2011
  • fDate
    12-15 Dec. 2011
  • Firstpage
    3547
  • Lastpage
    3552
  • Abstract
    In this paper, we deal with two types of control problems for a 3D space robot of two rigid bodies with an initial angular momentum. In our previous work, we studied a near-optimal control approach to the state transition control problem for the 3D space robots with initial angular momenta. However, for the approach, we need huge computation amount and other control purposes cannot be treated. In order to overcome these disadvantages, in this paper we apply model predictive control to the attitude stabilization control problem and the trajectory tracking control problem for a 3D universal joint space robot with an initial angular momentum. As a results of simulations, we can see that both attitude stabilization control and trajectory tracking control for the 3D space robot are accomplished by the model predictive control approach. Moreover, it can be also confirmed that this approach considerably reduces computation amount and achieves real-time control of the 3D space robot.
  • Keywords
    aerospace robotics; attitude control; position control; predictive control; stability; 3D universal joint space robot; attitude stabilization control; initial angular momentum; model predictive control approach; realtime control; state transition control problem; trajectory tracking control; Aerospace electronics; Attitude control; Joints; Robot kinematics; Three dimensional displays; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-61284-800-6
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2011.6160342
  • Filename
    6160342