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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Hill DC. System identification of gas turbine engines. Ph.D. dissertation. University of Birmingham, School of Electronic and Electrical Engineering, UK, 1994.
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.
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.
Haber R. Nonlinearity tests for dynamic processes. In: Proc. 7th IFAC Symp. Identification and System Parameter Estimation, York, 1985;409–414.
Hill DC. Identification of gas turbine dynamics: time-domain estimation problems. ASME Gas Turbine Confi, paper 97-GT-31,1997:1–7
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag London
About this chapter
Cite this chapter
Kulikov, G.G., Thompson, H.A. (2004). Linear Gas Turbine Modelling. In: Kulikov, G.G., Thompson, H.A. (eds) Dynamic Modelling of Gas Turbines. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-3796-2_6
Download citation
DOI: https://doi.org/10.1007/978-1-4471-3796-2_6
Publisher Name: Springer, London
Print ISBN: 978-1-84996-914-7
Online ISBN: 978-1-4471-3796-2
eBook Packages: Springer Book Archive