• DocumentCode
    2055283
  • Title

    Hammerstein Modeling of Electrical Drives: Identification by Multiple Integrators

  • Author

    Burgio, Alessandro ; Eisinberg, Alfredo ; Fedele, Giuseppe

  • Author_Institution
    Dip. Elettronica, Informatica e Sistemistica, UniversitÃ\xa0 della Calabria, 87036 Arcavacata di Rende (CS), Italy. burgio@deis.unical.it
  • fYear
    2007
  • fDate
    12-14 April 2007
  • Firstpage
    330
  • Lastpage
    335
  • Abstract
    In this paper the authors propose a novel method in order to identify the Hammerstein model where the nonlinear process is approximated by a static nonlinear element followed by a linear dynamic second or third-order model. The method is able to determine the parameters of the linear plant and two point of the nonlinear element in a unique step by using a filtered equation and the least-squares method. One of the most significant simulation example applied to the identification of a dc-engine is reported; it demonstrates the effectiveness of the proposed method and its acceptable robustness to disturbance and to measurements noise.
  • Keywords
    Artificial neural networks; Automatic testing; Feedback; Frequency response; Function approximation; Noise measurement; Noise robustness; Nonlinear equations; Nonlinear filters; Relays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering, Energy and Electrical Drives, 2007. POWERENG 2007. International Conference on
  • Conference_Location
    Setubal, Portugal
  • Print_ISBN
    978-1-4244-0895-5
  • Electronic_ISBN
    978-1-4244-0895-5
  • Type

    conf

  • DOI
    10.1109/POWERENG.2007.4380091
  • Filename
    4380091