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Proceedings Paper

Robust diagnostic approach for uncertain systems: an example for the jet engine sensor systems
Author(s): Pau-Lo Hsu; Li-Cheng Shen
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Paper Abstract

This paper presents a novel eigenstructure assignment approach for sythesizing robust fault detection and isolation (FDI) systems with known inputs. After formulating the FDI problem in eigenstructure assigment, we proceed to develop a parametric characterization of all allowable eigenspaces for disturbance decoupling to achieve robust fault detection. In addition to the structured uncertainties, the robustness of the diagnostic observer to unstructured modeling errors is discussed. A numerical algorithm is further proposed to suppress the effects due to the unstructured uncertainties. The overall robustness of the diagnostic strategy is verfied through simulation studies on jet engine systems.

Paper Details

Date Published: 30 May 1995
PDF: 12 pages
Proc. SPIE 2494, Sensing, Actuation, and Control in Aeropropulsion, (30 May 1995); doi: 10.1117/12.210518
Show Author Affiliations
Pau-Lo Hsu, National Chiao Tung Univ. (Taiwan)
Li-Cheng Shen, National Chiao Tung Univ. (Taiwan)


Published in SPIE Proceedings Vol. 2494:
Sensing, Actuation, and Control in Aeropropulsion
James D. Paduano, Editor(s)

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