ROBUST MODEL IDENTIFICATION APPLICATION TO A TURBOFAN ENGINE

In this paper we describe an application of a robust identification approach to a turbofan engine. The approach combines classical time-data system identification via prediction error models and the so-called model error model theory. The model error model approach provides guidelines for the charac...

Full description

Saved in:
Bibliographic Details
Published inIFAC Proceedings Volumes Vol. 38; no. 1; pp. 880 - 885
Main Authors Marcos, Andrés, Mylaraswamy, Dinkar, Balas, Gary J.
Format Journal Article
LanguageEnglish
Published 2005
Subjects
model error model
system identification
turbofan engine
system identification
model error model
turbofan engine
Online AccessGet full text
ISSN1474-6670
DOI10.3182/20050703-6-CZ-1902.00148

Cover

More Information
Summary:In this paper we describe an application of a robust identification approach to a turbofan engine. The approach combines classical time-data system identification via prediction error models and the so-called model error model theory. The model error model approach provides guidelines for the characterization of the model uncertainty stemming from the nominal system identification and fits naturally in the robust fault detection and isolation framework for H∞-based algorithms.
ISSN:1474-6670
DOI:10.3182/20050703-6-CZ-1902.00148