• DocumentCode
    1941471
  • Title

    A local linear black-box identification technique for power converters modeling

  • Author

    Ala, Guido ; Spagnuolo, Antonino ; Viola, Fabio

  • Author_Institution
    Dipt. di Ing. Elettr., Elettron. e delle Telecomun., Univ. degli Studi di Palermo, Palermo, Italy
  • fYear
    2009
  • fDate
    7-10 Sept. 2009
  • Firstpage
    257
  • Lastpage
    264
  • Abstract
    In this paper, a black-box modeling technique for power electronic converters, also used in automotive environment is presented. The aim of this work is to provide a simple yet versatile and powerful tool to schematize complex electric devices in vehicular appliances, in order to fulfill the electromagnetic compatibility already during the project stage. By using input and output measured data, a composite local linear state space model is built up. Radial basis functions are used as weights for the local systems. The proposed approach is validated and applied in modeling a DC/DC converter for DC motors, a pulse width modulation inverter and a controlled rectifier.
  • Keywords
    DC motors; DC-DC power convertors; PWM invertors; electromagnetic compatibility; rectifiers; DC motors; DC-DC converter; Radial basis functions; automotive environment; composite local linear state space model; controlled rectifier; electromagnetic compatibility; local linear black-box identification technique; power converters modeling; power electronic converters; pulse width modulation inverter; vehicular appliances; Automotive engineering; DC motors; DC-DC power converters; Electromagnetic compatibility; Electromagnetic measurements; Home appliances; Power electronics; Power system modeling; Pulse width modulation inverters; State-space methods; black box technique; electromagnetic compatibility; power electronic converters; state space model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Power and Propulsion Conference, 2009. VPPC '09. IEEE
  • Conference_Location
    Dearborn, MI
  • Print_ISBN
    978-1-4244-2600-3
  • Electronic_ISBN
    978-1-4244-2601-0
  • Type

    conf

  • DOI
    10.1109/VPPC.2009.5289842
  • Filename
    5289842