• DocumentCode
    3446909
  • Title

    A Novel Nonlinear Passivity-Based Control Algorithm for Active Power Filter Using Euler-Lagrange Model

  • Author

    Zhang, Zhenhuan ; Liu, Huijin ; Liu, Xiaoli

  • Author_Institution
    Wuhan Univ., Wuhan
  • fYear
    2007
  • fDate
    23-25 May 2007
  • Firstpage
    1746
  • Lastpage
    1751
  • Abstract
    The performance and application of active power filter (APF) in power system is closely linked to the control strategy. The paper proposes a novel nonlinear passivity-based algorithm for APF based on Euler-Lagrange (EL) dynamic averaged model of APF. Firstly, the EL dynamic averaged expressions of APF are determined in terms of substitution theorem and EL system theory. Secondly, according to passivity theory and EL averaged model presented, the passivity-based feedback control laws and the whole control objectives of APF arc proposed, which can guarantee the stability and achieve asymptotically command tracking. Lastly, in order to overcome the difficulty in estimating the ripple component on dc-side capacitor voltage, the modified control algorithm is proposed by neglecting the ripple component. Simulation results arc presented to verify the validity of the proposed algorithm.
  • Keywords
    active filters; feedback; nonlinear control systems; power capacitors; power filters; DC-side capacitor voltage; Euler-Lagrange dynamic averaged model; active power filter; nonlinear passivity-based control algorithm; passivity-based feedback control laws; ripple component estimation; Active filters; Asymptotic stability; Capacitors; Control systems; Feedback control; Nonlinear dynamical systems; Power system control; Power system dynamics; Power system modeling; Power systems; Active Power Filter (APF); Euler-Lagrange (EL) model; feedback control; passivity; ripple component;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-0737-8
  • Electronic_ISBN
    978-1-4244-0737-8
  • Type

    conf

  • DOI
    10.1109/ICIEA.2007.4318709
  • Filename
    4318709