• DocumentCode
    3738872
  • Title

    Takagi-Sugeno fuzzy model for DC-DC converters

  • Author

    M. Heras Cervantes;M. Flores Montiel;J. Anz?rez Mar?n;A.C. T?llez Anguiano;M.C. Garc?a Ram?rez

  • Author_Institution
    Posgrado en Ingenier?a El?ctrica, Universidad Michoacana de San Nicol?s de Hidalgo, Morelia, Michoac?n, M?xico
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper the analysis, design and simulation of a Takagi-Sugeno model for DC-DC converters, the buck-boost as a particular case study, are presented in order to analyze their performance compared to classical models of this converter. The model used for the Takagi-Sugeno fuzzy representation is the reduced nonlinear model. the Takagi-Sugeno fuzzy model is defined by eight rules and three parameters: input voltage (Vcc), capacitor voltage (vC) and inductor current (iL) in order to define the sector. The obtained results for the Takagi-Sugeno model simulation are compared to the obtained from the linear, nonlinear and reduced models.
  • Keywords
    "Takagi-Sugeno model","Inductors","Capacitors","DC-DC power converters","Analytical models","Atmospheric modeling","Adaptation models"
  • Publisher
    ieee
  • Conference_Titel
    Power, Electronics and Computing (ROPEC), 2015 IEEE International Autumn Meeting on
  • Type

    conf

  • DOI
    10.1109/ROPEC.2015.7395109
  • Filename
    7395109
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3738872