• DocumentCode
    666633
  • Title

    High performance predictive control applied to three phase grid connected Quasi-Z-Source Inverter

  • Author

    Mosa, Mostafa ; Abu-Rub, Haitham ; Rodriguez, Jose

  • Author_Institution
    Dept. of Power & Machine Eng., Aswan Univ., Aswan, Egypt
  • fYear
    2013
  • fDate
    10-13 Nov. 2013
  • Firstpage
    5812
  • Lastpage
    5817
  • Abstract
    Model predictive control has emerged as a very powerful method for controlling of electrical energy. One of the major advantages for this control is the performance of the power converters become more better comparing with the traditional modulation control techniques. In this paper, a model predictive control is used to drive a three phase grid connected Quasi-Z-Source Inverter (qZSI) to improve the performance of the three phase injected output current. This technique uses a model of the qZSI and capacitor voltage, input inductor current and AC three phase output load currents to predict the behavior of the measured parameters. The resulting closed-loop system achieves high dynamic performance for all controlled parameters. The total system has been analyzed, simulated by using MATLAB/SIMULINK program then implement by using dSPACE 1103 to prove the idea.
  • Keywords
    PWM invertors; closed loop systems; power convertors; power grids; predictive control; AC three phase output load current; MATLAB/SIMULINK program; capacitor voltage; closed loop system; input inductor current; model predictive control; modulation control technique; power converter; quasi-Z-source inverter; three phase grid connected inverter; three phase injected output current; Capacitors; Inductors; Inverters; Mathematical model; Predictive control; Switches; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
  • Conference_Location
    Vienna
  • ISSN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2013.6700087
  • Filename
    6700087