• DocumentCode
    2340022
  • Title

    Measurement and identification of gas turbine dynamics in the presence of noise and nonlinearities

  • Author

    Evans, Ceri ; Rees, David ; Jones, Lee ; Hill, Dave

  • Author_Institution
    Dept. of Electron. & Inf. Technol., Glamorgan Univ., Pontypridd, UK
  • fYear
    1994
  • fDate
    10-12 May 1994
  • Firstpage
    609
  • Abstract
    The identification of the fuel flow to shaft speed dynamics of a two shaft gas turbine engine is addressed. The measurement problem is discussed along with the limitations of previous work. The paper discusses why a measured input signal must be used for identification and why poor time domain models are consequently obtained, caused by the violation of the zero order hold assumption on the input. Frequency domain identification, using multisine test signals, is shown to overcome these problems and produce high quality models. The tests also yield information on the levels of nonlinearity and noise and the duration of pure time delay. This work illustrates the potential of frequency domain techniques for modelling systems which are difficult to model using time domain methods
  • Keywords
    aerospace engines; delays; flow measurement; frequency-domain analysis; gas turbines; identification; noise; frequency domain identification; frequency domain techniques; fuel flow; gas turbine dynamics; identification; measured input signal; multisine test signals; noise; nonlinearities; shaft speed dynamics; time domain models; Delay effects; Engines; Frequency domain analysis; Fuels; Noise level; Shafts; Signal processing; Testing; Time measurement; Turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 1994. IMTC/94. Conference Proceedings. 10th Anniversary. Advanced Technologies in I & M., 1994 IEEE
  • Conference_Location
    Hamamatsu
  • Print_ISBN
    0-7803-1880-3
  • Type

    conf

  • DOI
    10.1109/IMTC.1994.352024
  • Filename
    352024