• DocumentCode
    189297
  • Title

    An experimental study of extended linearisation approaches for a hydrostatic transmission with unknown disturbances

  • Author

    Aschemann, Harald ; Hao Sun ; Meinlschmidt, Thomas

  • Author_Institution
    Dept. of Mechatron., Univ. of Rostock, Rostock, Germany
  • fYear
    2014
  • fDate
    24-27 June 2014
  • Firstpage
    2046
  • Lastpage
    2051
  • Abstract
    A comparison of two control strategies using extended linearisation - with and without an integral part - is presented in this paper for the tracking control of a hydrostatic transmission. An unknown leakage volume flow and a resulting load torque are taken into account as lumped disturbances. These disturbances and two unmeasurable state variables - the normalised swashplate angle and the normalised bent axis angle - are estimated by a nonlinear observer. Thereby, a high tracking accuracy can be achieved for the normalised bent axis angle and the angular velocity of the motor as controlled variables. The efficiency of the proposed controllers is demonstrated by both simulations and experiments.
  • Keywords
    decentralised control; flow control; hydrostatics; linearisation techniques; mechatronics; nonlinear control systems; observers; trajectory control; controlled variables; extended linearisation approaches; high tracking accuracy; hydrostatic transmission; load torque; lumped disturbances; mechatronic system; model-based decentralised trajectory control; motor angular velocity; nonlinear observer; normalised bent axis angle; normalised swash plate angle; tracking control; unknown disturbances; unknown leakage volume flow; unmeasurable state variables; Angular velocity; Equations; Feedforward neural networks; Mathematical model; Observers; Torque; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2014 European
  • Conference_Location
    Strasbourg
  • Print_ISBN
    978-3-9524269-1-3
  • Type

    conf

  • DOI
    10.1109/ECC.2014.6862442
  • Filename
    6862442