• DocumentCode
    3588857
  • Title

    Balancing Control of Robot Gymnast Based on Discrete-Time Linear Quadratic Regulator Technique

  • Author

    Kamil, H.G. ; Eldukhri, E.E. ; Packianather, M.S.

  • Author_Institution
    Inst. of Mech. & Manuf. Eng., Cardiff Univ., Cardiff, UK
  • fYear
    2014
  • Firstpage
    137
  • Lastpage
    142
  • Abstract
    The most important purpose of this paper is to stablise and balance a robot gymnast (Robogymnast) upside down. The Robogymnast is a complex non-linear triple inverted pendulum system. Robogymnast attached to a freely rotating high bar mounted on ball bearings. It mimics the human acrobat, consists of three links and three joints, first joint is passive (unpowered joint) and the rest are active (powered joint). The passive join represents a great challenge to balancing the robot at the upright position. In order to achieve the required performance, the optimal control theory was used. The discrete-time linear quadratic regulator (DLQR) controller was carried out using the linearized mathematical model of the plant which was used to calculate the state feedback control law. Apart from this, the choice of weighting matrices of the DLQR was discussed. The results showed successful stablising and balancing of Robogymnast.
  • Keywords
    discrete time systems; linear quadratic control; matrix algebra; mechanical stability; mechanical variables control; mobile robots; nonlinear control systems; state feedback; DLQR controller; Robogymnast; active joint; balancing control; discrete-time linear quadratic regulator technique; nonlinear triple inverted pendulum system; passive joint; robot gymnast; state feedback control law; weighting matrix; Eigenvalues and eigenfunctions; Joints; Mathematical model; Optimal control; Regulators; Robots; Balancing control; Discrete-time Linear Quadratic Regulator (DLQR); Robot gymnast; Triple inverted pendulum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Modelling and Simulation (AIMS), 2014 2nd International Conference on
  • Print_ISBN
    978-1-4799-7599-0
  • Type

    conf

  • DOI
    10.1109/AIMS.2014.38
  • Filename
    7102449