• DocumentCode
    654209
  • Title

    Predictive frequency spectrum shaping of currents in a three phase inverter

  • Author

    Perez, Marcelo A. ; Rodriguez, Jose

  • Author_Institution
    Electron. Dept., Univ. Tec. Federico Santa Maria, Valparaiso, Chile
  • fYear
    2013
  • fDate
    17-19 Oct. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Model predictive control is a very intuitive, simple, and flexible control strategy that can be applied to any converter topology achieving a wide variety of control objectives. However, one of the disadvantages of this control method is the variable switching frequency of the gate signals, which increase the losses and can generate resonances. In this paper, a simple and powerful method to shape the switching frequency spectrum of the gate signals of the converter is proposed. The proposed method is very flexible allowing to avoid, displace or concentrate the frequency spectrum in an specific range of switching frequencies. The method is based on a virtual filter which is simulated inside the digital processor and its output is evaluated, similarly to the load model, for each one of the possible switching states, incorporating later this information to the cost function. Simulation results shows the validity and performance of the proposed control.
  • Keywords
    invertors; phase convertors; power system control; predictive control; switching; converter topology; digital processor; gate signals; load model; model predictive control; predictive current frequency spectrum shaping; switching frequency spectrum; three-phase inverter; variable switching frequency; virtual filter; Cost function; Frequency control; Inverters; Load modeling; Predictive control; Switches; Time-frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics (SLED/PRECEDE), 2013 IEEE International Symposium on
  • Conference_Location
    Munich
  • Print_ISBN
    978-1-4799-0680-2
  • Type

    conf

  • DOI
    10.1109/SLED-PRECEDE.2013.6684483
  • Filename
    6684483