• DocumentCode
    189323
  • Title

    On reduced order modeling of flexible structures from frequency response data

  • Author

    Demir, Okan ; Ozbay, Hitay

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
  • fYear
    2014
  • fDate
    24-27 June 2014
  • Firstpage
    1133
  • Lastpage
    1138
  • Abstract
    In order to identify the dominant flexible modes of a flexible structure with an input/output delay, a numerical method is proposed. The method uses a frequency domain approach (frequency response data) to estimate the resonating frequencies and damping coefficients of the flexible modes, as well as the amount of the time delay. A sequential NLLS (Non-Linear Least Squares) curve fitting procedure is adopted. It is illustrated that such a Newtonian optimization method has the capability of finding the parameters of a reduced order transfer function by minimizing a cost function involving nonlinearities such as exponential and fractional terms.
  • Keywords
    control nonlinearities; curve fitting; damping; flexible structures; frequency response; frequency-domain analysis; least squares approximations; minimisation; reduced order systems; transfer functions; Newtonian optimization method; cost function minimization; damping coefficients; dominant flexible mode identification; exponential term; flexible structure; fractional terms; frequency domain approach; frequency response data; input-output delay; nonlinear least square curve fitting procedure; numerical method; reduced order modeling; reduced order transfer function; resonating frequency estimation; sequential NLLS curve fitting procedure; time delay; Damping; Data models; Delays; Frequency response; Optimization; Resonant frequency; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2014 European
  • Conference_Location
    Strasbourg
  • Print_ISBN
    978-3-9524269-1-3
  • Type

    conf

  • DOI
    10.1109/ECC.2014.6862456
  • Filename
    6862456