Nonlinear gas turbine modeling using NARMAX structures

Author

Chiras, Neophytos ; Evans, Ceri ; Rees, David

Author_Institution

Sch. of Electron., Glamorgan Univ., UK

Volume

50

Issue

4

fYear

2001

fDate

8/1/2001 12:00:00 AM

Firstpage

893

Lastpage

898

Abstract

The estimation of a nonlinear autoregressive moving average with exogenous inputs (NARMAX) model of an aircraft gas turbine is presented. A method is proposed whereby periodic signals with certain harmonic content are used to qualify the nature of the nonlinearity of the engine in the frequency domain. The static behavior of the engine is investigated in the time domain to approximate the order of nonlinearity and this information is used a priori to restrict the search space of the potential NARMAX models. A forward-regression orthogonal estimation algorithm is then employed to select the model terms using the error reduction ratio. The performance of the estimated NARMAX model is illustrated against a range of small- and large-signal engine tests

Keywords

aerospace engines; aircraft control; autoregressive moving average processes; frequency-domain analysis; gas turbines; nonlinear estimation; parameter estimation; aircraft gas turbine; error reduction ratio; forward-regression orthogonal estimation algorithm; frequency domain; global nonlinear controller; harmonic content; identification; large-signal engine tests; nonlinear ARMAX structures; nonlinear gas turbine modeling; order of nonlinearity; periodic signals; search space; small-signal engine tests; time domain; Aircraft propulsion; Autoregressive processes; Educational institutions; Engines; Fuels; Joining processes; Shafts; System identification; Testing; Turbines;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/19.948295

Filename

948295