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Linear Gas Turbine Modelling

  • Gennady G. Kulikov
  • Haydn A. Thompson
Part of the Advances in Industrial Control book series (AIC)

Abstract

In this chapter the engine test facility will now be described, and the signals used during the engine tests will be presented. Single-input, single-output s-domain models of the HP and LP dynamics will be estimated at different shaft speeds using frequency-domain techniques. The estimated models will be cross-validated using other models estimated from different tests at the same amplitude. The influence of the engine nonlinearity on the estimated models will be examined by analysing the frequency-domain residuals and the estimated models will be compared with the thermodynamic models at the different operating points. Discrete models will also be estimated in the time domain and their poles and zeros will be compared with those of the frequency-domain models by means of the impulse invariant transform.

Keywords

Operating Point Fuel Flow Input Amplitude Shaft Speed Inlet Guide Vane 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Hill DC. System identification of gas turbine engines. Ph.D. dissertation. University of Birmingham, School of Electronic and Electrical Engineering, UK, 1994.Google Scholar
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    Evans C. Identification of linear and nonlinear systems using multisine signals, with a gas turbine application. Ph.D. dissertation, University of Glamorgan, School of Electronics, UK, 1998.Google Scholar
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    Evans C, Borrell A, Rees D. Testing and modelling gas turbines using multisine signals and frequency-domain techniques. ASME J. of Engineering for Gas Turbine and Power, 1999;121:451–457.CrossRefGoogle Scholar
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    Haber R. Nonlinearity tests for dynamic processes. In: Proc. 7th IFAC Symp. Identification and System Parameter Estimation, York, 1985;409–414.Google Scholar
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    Hill DC. Identification of gas turbine dynamics: time-domain estimation problems. ASME Gas Turbine Confi, paper 97-GT-31,1997:1–7Google Scholar

Copyright information

© Springer-Verlag London 2004

Authors and Affiliations

  • Gennady G. Kulikov
    • 1
  • Haydn A. Thompson
    • 2
  1. 1.Department of Automated Control SystemsUfa State Aviation Technical UniversityRussia
  2. 2.Department of Automatic Control and Systems EngineeringThe University of SheffieldSheffieldUK

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