Model-based techniques for virtual sensing of longitudinal flight parameters

Hardier, Georges; Seren, Cédric; Ezerzere, Pierre

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Title: Model-based techniques for virtual sensing of longitudinal flight parameters

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AMCS, Volume 25 (2015)

Abstract:

Introduction of fly-by-wire and increasing levels of automation significantly improve the safety of civil aircraft, and result in advanced capabilities for detecting, protecting and optimizing A/C guidance and control. However, this higher complexity requires the availability of some key flight parameters to be extended. Hence, the monitoring and consolidation of those signals is a significant issue, usually achieved via many functionally redundant sensors to extend the way those parameters are measured. ; This solution penalizes the overall system performance in terms of weight, maintenance, and so on. Other alternatives rely on signal processing or model-based techniques that make a global use of all or part of the sensor data available, supplemented by a model-based simulation of the flight mechanics. That processing achieves real-time estimates of the critical parameters and yields dissimilar signals. Filtered and consolidated information is delivered in unfaulty conditions by estimating an extended state vector, including wind components, and can replace failed signals in degraded conditions. ; Accordingly, this paper describes two model-based approaches allowing the longitudinal flight parameters of a civil A/C to be estimated on-line. Results are displayed to evaluate the performances in different simulated and real flight conditions, including realistic external disturbances and modeling errors.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Resource Identifier:

oai:zbc.uz.zgora.pl:79001

DOI:

10.1515/amcs-2015-0002

Pages:

23-38

Source:

AMCS, volume 25, number 1 (2015) ; click here to follow the link

Language:

eng

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Biblioteka Uniwersytetu Zielonogórskiego

Subject and keywords:

model-based estimation fault detection virtual sensor Kalman filtering surrogate modeling

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Digital Library of Zielona Góra > Repository > Faculties > Faculty of Computer, Electrical and Control Engineering

Digital Library of Zielona Góra > Repository > Types of work > Articles

Digital Library of Zielona Góra > Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2015)

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Apr 29, 2024

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Apr 29, 2024

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https://zbc.uz.zgora.pl/publication/88845

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International Journal of Applied Mathematics and Computer Science (AMCS)

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Model-based techniques for virtual sensing of longitudinal flight parameters	Apr 29, 2024

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