Fault Detection and Identification in the Doubled Attitude and Heading Reference System (AHRS)

This article presents a diagnostic system for two redundant AHRS units. The proposed system enables fault detection and identification, facilitating the design of more efficient flight control systems, particularly in low-cost applications. First, the principles of AHRS operation are first introduced, followed by a detailed description of the diagnostic system and the demonstration of the system's properties. Simulation results presented in this article confirm the system's effectiveness in fault detection and identification. The proposed solution can be applied in aeronautical control systems, particularly in UAV applications.

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Publication Details

Journal
Sensors
Published
2025-03-05
DOI
https://doi.org/10.3390/s25051603
Citations
1
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
1.21
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article

Fault Detection and Identification in the Doubled Attitude and Heading Reference System (AHRS)

B. Dołęga, Paweł Rzucidło, Grzegorz Kopecki
1 citations
Sensors
Fault Detection and Control Systems
1.21
article

Fault Detection and Identification in the Doubled Attitude and Heading Reference System (AHRS)

B. Dołęga, Paweł Rzucidło, Grzegorz Kopecki
article en
1 citations

Abstract

This article presents a diagnostic system for two redundant AHRS units. The proposed system enables fault detection and identification, facilitating the design of more efficient flight control systems, particularly in low-cost applications. First, the principles of AHRS operation are first introduced, followed by a detailed description of the diagnostic system and the demonstration of the system's properties. Simulation results presented in this article confirm the system's effectiveness in fault detection and identification. The proposed solution can be applied in aeronautical control systems, particularly in UAV applications.

SensorsVol. 25(5)
Rzeszów University of Technology (PL)
Openalex Percentile: Top 24%
Fault Detection and Control Systems
1.21
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