Advanced Nonlinear Modeling of Gas Turbine Dynamics

Nonlinear modeling of regenerative cycle micro gas turbine

Energy ◽

10.1016/j.energy.2015.07.134 ◽

2015 ◽

Vol 91 ◽

pp. 168-175 ◽

Cited By ~ 21

Author(s):

Jiandong Duan ◽

Li Sun ◽

Guanglin Wang ◽

Fengjiang Wu

Keyword(s):

Gas Turbine ◽

Nonlinear Modeling ◽

Micro Gas Turbine ◽

Regenerative Cycle

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Nonlinear modeling of unstable gas turbine combustor dynamics using experimental data

10.2514/6.2000-3464 ◽

2000 ◽

Cited By ~ 1

Author(s):

Tim Lieuwen ◽

Doh-Hyoung Lee

Keyword(s):

Experimental Data ◽

Gas Turbine ◽

Nonlinear Modeling ◽

Gas Turbine Combustor

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Global Nonlinear Modeling of Gas Turbine Dynamics Using NARMAX Structures

Journal of Engineering for Gas Turbines and Power ◽

10.1115/1.1470483 ◽

2002 ◽

Vol 124 (4) ◽

pp. 817-826 ◽

Cited By ~ 21

Author(s):

N. Chiras ◽

C. Evans ◽

D. Rees

Keyword(s):

Gas Turbine ◽

Nonlinear Model ◽

Linear Models ◽

Nonlinear Modeling ◽

Search Space ◽

Frequency Domain Analysis ◽

Superior Performance ◽

Linear Modeling ◽

Large Signal ◽

Identification Techniques

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.

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