• DocumentCode
    3243779
  • Title

    Linear Quadratic Regulator design for modular matrix converter using Genetic Algorithm

  • Author

    Yuhendri, Muldi ; Ashari, Mochammad ; Purnomo, M.H.

  • Author_Institution
    Dept. of Electr. Eng., Universitas Negeri Padang, Padang, Indonesia
  • fYear
    2011
  • fDate
    27-29 May 2011
  • Firstpage
    175
  • Lastpage
    179
  • Abstract
    This paper introduces an application of Linear Quadratic Regulator (LQR) based on Genetic Algortihm (GA) for improving the stability of modular matrik converter. GA is used for constructing the weighting matrices Q and R of LQR. To design controller, the converter is analyzed in small signal model and steady state model. Stability performances of converter are presented by the switch cell capacitor voltage and currents of converter. This method is compared with trial-error LQR for result validation. The Simulation results shows the GA presents best performance to improve the converter stability via matrices Q and R design.
  • Keywords
    genetic algorithms; linear quadratic control; matrix convertors; converter stability; genetic algorithm; linear quadratic regulator design; modular matrix converter; small signal model; steady state model; weighting matrix; Genetic Algorithm; Linear Quadratic Regulator; Modular matrix converter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-485-5
  • Type

    conf

  • DOI
    10.1109/ICCSN.2011.6014875
  • Filename
    6014875