Robust diagnostic approach for uncertain systems: an example for the jet engine sensor systems

Pau-Lo Hsu; Li-Cheng Shen

doi:10.1117/12.210518

30 May 1995 Robust diagnostic approach for uncertain systems: an example for the jet engine sensor systems

Pau-Lo Hsu, Li-Cheng Shen

Proceedings Volume 2494, Sensing, Actuation, and Control in Aeropropulsion; (1995) https://doi.org/10.1117/12.210518
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

Pau-Lo Hsu and Li-Cheng Shen "Robust diagnostic approach for uncertain systems: an example for the jet engine sensor systems", Proc. SPIE 2494, Sensing, Actuation, and Control in Aeropropulsion, (30 May 1995); https://doi.org/10.1117/12.210518

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