This paper examines the estimation of a global nonlinear gas turbine model using NARMAX techniques. Linear models estimated on small-signal data are first examined and the need for a global nonlinear model is established. A nonparametric analysis of the engine nonlinearity is then performed in the time and frequency domains. The information obtained from the linear modeling and nonlinear analysis is used to restrict the search space for nonlinear modeling. The nonlinear model is then validated using large-signal data and its superior performance illustrated by comparison with a linear model. This paper illustrates how periodic test signals, frequency domain analysis and identification techniques, and time-domain NARMAX modeling can be effectively combined to enhance the modeling of an aircraft gas turbine.
Global Nonlinear Modeling of Gas Turbine Dynamics Using NARMAX Structures
Contributed by the International Gas Turbine Institute (IGTI) of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS for publication in the ASME JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Paper presented at the International Gas Turbine and Aeroengine Congress and Exhibition, New Orleans, LA, June 4–7, 2001; Paper 01-GT-019. Manuscript received by IGTI, December 2000, final revision, March 2001. Associate Editor: R. Natole.
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Chiras , N., Evans , C., and Rees, D. (September 24, 2002). "Global Nonlinear Modeling of Gas Turbine Dynamics Using NARMAX Structures ." ASME. J. Eng. Gas Turbines Power. October 2002; 124(4): 817–826. https://doi.org/10.1115/1.1470483
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