Title :
Aircraft turbofan engine linear model with uncertain eigenvalues
Author_Institution :
Dept. of Informatics & Appl. Math., Moscow State Univ. of Civil Eng., Russia
fDate :
8/1/2002 12:00:00 AM
Abstract :
This paper presents an aircraft turbofan engine model identification in time domain. The identification makes use of a multivariable linear model of turbofan engine dynamics having uncertain eigenvalues. The uncertainty describes the difference between nonlinear and linear models. The bounds for real and imaginary parts of uncertain matrix eigenvalues are determined using nonlinear programming. The results of identification application using a detailed nonlinear model of an aircraft turbofan engine are presented.
Keywords :
aerospace engines; aircraft; eigenvalues and eigenfunctions; identification; multivariable systems; nonlinear programming; time-domain analysis; aircraft turbofan engine; dynamics; identification; linear model; multivariable model; nonlinear programming; uncertain eigenvalues; Aircraft propulsion; Eigenvalues and eigenfunctions; Engines; Linear programming; Parameter estimation; Piecewise linear techniques; Power system modeling; Robust control; Uncertainty; Vectors;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2002.801199