• DocumentCode
    2261674
  • Title

    The PFC with Average Current-Mode and Voltage Fuzzy Controller for the Output Voltage

  • Author

    Zhang, Yong ; Xu, Weisheng ; Yu, Youling

  • Author_Institution
    Coll. of Electron. & Inf. Eng., Shanghai TongJi Univ., Shanghai
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    771
  • Lastpage
    775
  • Abstract
    The paper presents a PFC (Power Factor Correction) that uses Average Current-Mode control. The PFC strategy uses PI controller to correct the input current shape and a fuzzy controller to control the output voltage. Since the performance of fuzzy logic controller only depends on the selection of membership function and the inference of fuzzy rules, fuzzy logic controllers have an advantage in coping with the time varying non-linearity of switches. On the other hand, PI controller design requires a accurate mathematical model of the plant and it failed to perform satisfactorily under parameter variation, non-linearity, load disturbance, etc... We build the model and simulate it in MATLAB. The simulation results show that the fuzzy controller for output voltage can achieve better dynamic response than its PI counterpart under larger load disturbance and plant uncertainties. The work offers a platform for digital PFC. This controller is proposed to be implemented in a FPGA with the digital PI-controller for current loop.
  • Keywords
    PI control; fuzzy control; power factor correction; voltage control; FPGA; PI controller; average current-mode; fuzzy rules; input current shape; membership function; output voltage; power factor correction; voltage fuzzy controller; Field programmable gate arrays; Fuzzy control; Fuzzy logic; MATLAB; Mathematical model; Power factor correction; Shape control; Switches; Uncertainty; Voltage control; Average Current-Mode control; Power Factor Correction; fuzzy logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.569
  • Filename
    4739676