• DocumentCode
    1703131
  • Title

    Decoupling control of three-phase shunt active power filter based on neural network inverse

  • Author

    Yang Chenxing ; Liu Guohai ; Chen Zhaoling

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
  • fYear
    2013
  • Firstpage
    1027
  • Lastpage
    1030
  • Abstract
    This paper proposes a new control method for three-phase shunt active power filter (SAPF) by applying neural network inverse (NNI). The key of the proposed method is to decouple the SAPF system under the synchronous orthogonal d-q frame into two one-order linear subsystems, which concern the compensation current components. In addition, the linear closed-loop controllers are designed, respectively, for two compensation current components. Simulated results verify that by adopting the proposed method, the system has both good steady-state and dynamic performances. After the compensation, the total harmonic distortion (THD) of the power source currents in steady state is reduced from 25.57% to 1.23%.
  • Keywords
    closed loop systems; compensation; control system synthesis; harmonic distortion; linear systems; neurocontrollers; power harmonic filters; power system control; SAPF; THD; compensation current components; decoupling control; dynamic performance; linear closed-loop controller design; neural network inverse; one-order linear subsystems; steady-state performance; synchronous orthogonal d-q frame; three-phase shunt active power filter; total harmonic distortion; Active filters; Artificial neural networks; Biological neural networks; Control systems; Mathematical model; Steady-state; decoupling control; linear closed-loop controller; neural network inverse (NNI); proportional-integral controller (PIC); radical basis function neural network (RBFNN); three-phase shunt active power filter (SAPF);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2013 32nd Chinese
  • Conference_Location
    Xi´an
  • Type

    conf

  • Filename
    6639578