Abstract
This paper presents a method for fault detection and isolation based on linearized aircraft models. A model-matching approach is employed using a bank of adaptive linear unknown input observers (UIOs). The well-known UIO technique allows for the rejection of structured disturbances, while the addition of an adaptive term handles the unknown nonlinearities in the system. Both the observer error and the estimate of the nonlinearity are used in the formation of the residual. Nonlinear aircraft simulations verify the performance of the proposed method.
| Original language | English (US) |
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| Title of host publication | AIAA Guidance, Navigation, and Control Conference |
| DOIs | |
| State | Published - Feb 28 2014 |
| Event | AIAA Guidance, Navigation, and Control Conference 2014 - SciTech Forum and Exposition 2014 - National Harbor, MD, United States Duration: Jan 13 2014 → Jan 17 2014 |
Publication series
| Name | AIAA Guidance, Navigation, and Control Conference |
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Other
| Other | AIAA Guidance, Navigation, and Control Conference 2014 - SciTech Forum and Exposition 2014 |
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| Country | United States |
| City | National Harbor, MD |
| Period | 1/13/14 → 1/17/14 |
ASJC Scopus subject areas
- Aerospace Engineering
- Control and Systems Engineering
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Cite this
Lee, H., Snyder, S., & Hovakimyan, N. (2014). An adaptive unknown input observer for fault detection and isolation of aircraft actuator faults. In AIAA Guidance, Navigation, and Control Conference (AIAA Guidance, Navigation, and Control Conference). https://doi.org/10.2514/6.2014-0266