Robust Model Identification Application to a Turbofan Engine
| Authors: | Marcos Andres, University of Leicester, United Kingdom
Dinkar Mylaraswamy,, Honeywell Inc., United States
Gary Balas,, University of Minnesota, United States |
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| Topic: | 1.1 Modelling, Identification & Signal Processing |
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| Session: | Model Validation Techniques |
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| Keywords: | system identification, model error model, turbofan engine |
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Abstract
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 $\Hi$-based algorithms.
