• DocumentCode
    164948
  • Title

    Filter approximation and model reduction comparison for fractional order systems

  • Author

    Senol, Bilal ; Yeroglu, Celaleddin

  • Author_Institution
    Comput. Eng. Dept., Inonu Univ., Malatya, Turkey
  • fYear
    2014
  • fDate
    23-25 June 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a comparison study for filter approximations and model reduction techniques for control systems of fractional orders. Oustaloup´s recursive filter and a refined Oustaloup´s filter are represented to obtain higher integer order approximations of fractional order systems. Then these higher integer order systems are exposed to model reduction with some existing techniques preserving some of the dominant eigenvalues. Original system and reduced order systems are compared on a Bode diagram and average errors of the reduced systems are computed. Then, a Matlab toolbox is developed which one can easily enter the fractional order system and apply filter approximations and model reductions. Average errors of each technique for desired fractional order system can be computed using the toolbox. Thus, this study is thought to be useful for the related area of research.
  • Keywords
    approximation theory; eigenvalues and eigenfunctions; integration; recursive filters; reduced order systems; Bode diagram; Oustaloup recursive filter; eigenvalues; filter approximation; fractional order system; integer order approximation; model reduction; reduced order system; refined Oustaloup filter; Approximation methods; Computational modeling; Control systems; Mathematical model; Optimization; Reduced order systems; Transfer functions; Fractional order systems; filter approximation; model reduction; toolbox;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fractional Differentiation and Its Applications (ICFDA), 2014 International Conference on
  • Conference_Location
    Catania
  • Type

    conf

  • DOI
    10.1109/ICFDA.2014.6967426
  • Filename
    6967426