• DocumentCode
    2901023
  • Title

    Adaptive robust control of variable displacement pumps

  • Author

    Kai Guo ; Jianhua Wei

  • Author_Institution
    State Key Lab. of Fluid Power & Control, Zhejiang Univ., Hangzhou, China
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    1112
  • Lastpage
    1117
  • Abstract
    In this paper, supply pressure control of variable displacement axial piston pumps which are subjected to large extent of nonlinearities and model uncertainties are investigated. A detailed nonlinear swashplate torque model which provides more insights is derived from general hydraulic and mechanical considerations and is used for controller design. Aside from the nonlinear swashplate torque model, this system also has large extent of model uncertainties which makes the control design a challenging task. To prevent the negative influence introduced by parameter variations and uncertain nonlinearities, adaptive robust control (ARC) is applied to synthesize a controller. This controller is able to take into account the effect of parameter uncertainty and uncertain nonlinearities while guarantee a prescribed transient performance and final tracking accuracy. Simulation results show that the proposed controller has a satisfying robust behavior.
  • Keywords
    adaptive control; control nonlinearities; control system synthesis; hydraulic systems; nonlinear control systems; pistons; pressure control; pumps; robust control; torque control; uncertain systems; ARC; adaptive robust control; controller design; controller synthesis; hydraulic consideration; mechanical consideration; model uncertainty; nonlinear swashplate torque model; parameter uncertainty; parameter variation; supply pressure control; transient performance; uncertain nonlinearity; variable displacement axial piston pump; variable displacement pump; Adaptation models; Load modeling; Mathematical model; Pistons; Robust control; Torque; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6579985
  • Filename
    6579985