Air data fault detection and isolation for small UAS using integrity monitoring framework

Kerry Sun; Demoz Gebre-Egziabher

doi:10.1002/navi.440

Air data fault detection and isolation for small UAS using integrity monitoring framework

Kerry Sun, Demoz Gebre-Egziabher

Aerospace Engineering and Mechanics

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

A Fault Detection and Isolation (FDI) algorithm is developed to protect against Water-Blockage (WB) pitot tube failure in the safety-critical Air Data System (ADS) used on small Unmanned Aircraft Systems (UAS). The algorithm utilizes two identical Synthetic Air Data Systems (SADS) as the basis for state estimation. Each SADS works independently with a pitot tube while sharing an IMU and GNSS receiver. The fault detection is designed using the integrity monitoring framework, and the isolation is obtained via independent fault detection channels. The ADS requirements are established, and the WB failure mode is analyzed based on real faulty air data. A new residual-based test statistic is introduced, and the link among the test statistic, observability matrix, and Minimal Detectable Error (MDE) are examined. Finally, a flight data set with a known water-blockage fault signature is used to assess the algorithm's performance in terms of the air data protection levels and alert limits.

Original language	English (US)
Pages (from-to)	577-600
Number of pages	24
Journal	Navigation, Journal of the Institute of Navigation
Volume	68
Issue number	3
DOIs	https://doi.org/10.1002/navi.440
State	Published - Sep 1 2021

Bibliographical note

Funding Information:
The authors gratefully acknowledge the Minnesota Invasive Terrestrial Plants and Pests Center (MITPPC) through the Minnesota Environment and Natural Resources Trust Fund for financial support to conduct research associated with increasing the reliability of small UAV technology used for surveying applications. The authors also gratefully acknowledge Todd Colten and Sentera LLC for donating the flight data for the air data fault detection research.

Funding Information:
The authors gratefully acknowledge the Minnesota Invasive Terrestrial Plants and Pests Center (MITPPC) through the Minnesota Environment and Natural Resources Trust Fund for financial support to conduct research associated with increasing the reliability of small UAV technology used for surveying applications. The authors also gratefully acknowledge Todd Colten and Sentera LLC for donating the flight data for the air data fault detection research.

Publisher Copyright:
© 2021 Institute of Navigation

Keywords

UAS
fault detection and isolation
integrity monitoring
synthetic air data system

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title = "Air data fault detection and isolation for small UAS using integrity monitoring framework",

abstract = "A Fault Detection and Isolation (FDI) algorithm is developed to protect against Water-Blockage (WB) pitot tube failure in the safety-critical Air Data System (ADS) used on small Unmanned Aircraft Systems (UAS). The algorithm utilizes two identical Synthetic Air Data Systems (SADS) as the basis for state estimation. Each SADS works independently with a pitot tube while sharing an IMU and GNSS receiver. The fault detection is designed using the integrity monitoring framework, and the isolation is obtained via independent fault detection channels. The ADS requirements are established, and the WB failure mode is analyzed based on real faulty air data. A new residual-based test statistic is introduced, and the link among the test statistic, observability matrix, and Minimal Detectable Error (MDE) are examined. Finally, a flight data set with a known water-blockage fault signature is used to assess the algorithm's performance in terms of the air data protection levels and alert limits.",

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Air data fault detection and isolation for small UAS using integrity monitoring framework

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Keywords

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