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COBEM 2017
24th ABCM International Congress of Mechanical Engineering
Robust Identification of Pressure Oscillations in the Combustion Chamber of a Heavy-Duty Turbine
Submission Author:
Eduardo Yamao , PR
Co-Authors:
Juliano Pierezan, Gabriel Maidl, Eduardo Yamao, João Paulo Silva Gonçalves, Flávio Chiesa, Leandro dos Santos Coelho
Presenter: Juliano Pierezan
doi://10.26678/ABCM.COBEM2017.COB17-1308
Abstract
The flame instability of the combustion in heavy-duty gas turbines may result in pressure oscillations in a frequency range that can damage both combustors and downstream hot-gas-path components. This paper contributes with a nonlinear identification based on a black-box model approach for modelling the maximum values of the pressure oscillations inside the combustion chamber of a heavy duty gas turbine. The methodology is based on a robust data filtering combined with a Volterra-Series model obtained using the Forward Regression with Orthogonal Least-Squares (FROLS) algorithm. The models obtained are simulated and the samples are compared with the original data in terms of the Sum of the Absolute Errors (SAE) and two modified versions of it. The obtained model is validated on sixteen individual combustors simultaneously and the robustness of the simplified generic model is discussed.
Keywords
Non-Linear Identification, Heavy Duty Turbine, Combustion Chamber, Pressure Oscillations
