• DocumentCode
    956297
  • Title

    Frequency domain analysis of nonlinear systems driven by multiharmonic signals

  • Author

    Solomou, Michael ; Rees, David ; Chiras, Neophytos

  • Author_Institution
    Electricity Authority of Cyprus, Paphos, Cyprus
  • Volume
    53
  • Issue
    2
  • fYear
    2004
  • fDate
    4/1/2004 12:00:00 AM
  • Firstpage
    243
  • Lastpage
    250
  • Abstract
    This paper examines the output properties of static power-series nonlinearities driven by periodic multiharmonic signals with emphasis given to their effect on linear frequency response function (FRF) measurements. The analysis is based on the classification of nonlinear distortions into harmonic and interharmonic contributions. The properties of harmonic contributions are examined in detail and explicit formulae are derived, by which the number of harmonic contributions generated at the test frequencies can be calculated for odd-order nonlinearities up to, and including, the ninth order. Although an analytic solution for any odd-order nonlinearity is still under investigation, a heuristic methodology is developed that solves this problem. It is shown that the derived formulae provide a useful tool in the examination of the behavior of FRF measurements in the presence of nonlinear distortions. Based on these formulae, different approaches in classifying nonlinear distortions are then compared with respect to their suitability in assessing the influence of system nonlinearities on linear FRF measurements.
  • Keywords
    frequency response; frequency-domain analysis; harmonics; identification; nonlinear distortion; nonlinear dynamical systems; signal processing; frequency domain analysis; frequency response function; frequency-domain analysis; harmonic contributions; heuristic methodology; interharmonic contributions; linear FRF measurements; linear systems; multisine signals; nonlinear distortion classification; nonlinear distortions; nonlinear systems; odd-order nonlinearities; periodic multiharmonic signals; signal processing; static power-series nonlinearities; system identification; system nonlinearities; test frequencies; Distortion measurement; Frequency domain analysis; Frequency estimation; Frequency measurement; Frequency response; Nonlinear distortion; Nonlinear systems; Signal processing; System identification; Testing;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2003.822477
  • Filename
    1284851