• DocumentCode
    1768093
  • Title

    One-step ahead stabilizing model predictive control for a three-phase AC/DC converter

  • Author

    Seok-Kyoon Kim ; Young Il Lee

  • Author_Institution
    Res. Inst. of EIT, SeoulTech., Seoul, South Korea
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    1128
  • Lastpage
    1133
  • Abstract
    This paper presents an one-step ahead model predictive control (MPC) to control the output voltage and the power factor of a three phase AC/DC converter, considering the nonlinearity of the converter model. The proposed MPC minimizes an one-step ahead cost function by performing a simple membership test without any use of numerical methods at each time step and it ensures the global convergence in the presence of input constraints. The cost index is designed so that the output voltage tracking and maximum power factor regulation are obtained by minimizing it at each time step. Moreover, the use of the proportional-and-integral (PI) controller in the outer-loop is made to remove the offset error. It is shown that the closed-loop performance is satisfactory under the load resistance changes through the simulations using PSIM software.
  • Keywords
    AC-DC power convertors; PI control; control nonlinearities; modelling; power electronics; power factor; predictive control; voltage control; MPC; PI controller; PSIM software; closed loop performance; converter model; cost index; load resistance; maximum power factor regulation; membership test; nonlinearity; numerical methods; offset error; one-step ahead cost function; one-step ahead stabilizing model predictive control; outer loop; output voltage tracking; proportional-and-integral controller; three-phase AC/DC converter; AC/DC Converter; Input constraints; MPC; Output voltage regulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2014 14th International Conference on
  • Conference_Location
    Seoul
  • ISSN
    2093-7121
  • Print_ISBN
    978-8-9932-1506-9
  • Type

    conf

  • DOI
    10.1109/ICCAS.2014.6987549
  • Filename
    6987549