Fault Diagnosis of IMU Sensor with Finite-time Sliding Mode Observer

This paper proposes a fault-tolerant system for inertial measurement unit (IMU) sensors by identifying faults using a finite-time sliding mode observer (SMO). The finite-time SMO is designed based on a kinematic model suitable to diagnose IMU sensor faults. To overcome the fault quickly and accurately, we design the finite-time SMO that ensures fast convergence and can consider high-order derivatives of disturbance (fault). The identified faults are removed from sensor measurements to estimate healthy measurements. Fault simulations demonstrate that the observer quickly estimates the faults, enabling flight without degradation in attitude tracking performance.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/vss61690.2024.10753394
Citations
1
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.33

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article

Fault Diagnosis of IMU Sensor with Finite-time Sliding Mode Observer

Seungkeun Kim, Jinyoung Suk, Inrae Kim, Yeji Kim
1 citations
Fault Detection and Control Systems
0.33
article

Fault Diagnosis of IMU Sensor with Finite-time Sliding Mode Observer

Seungkeun Kim, Jinyoung Suk, Inrae Kim, Yeji Kim
article en
1 citations

Abstract

This paper proposes a fault-tolerant system for inertial measurement unit (IMU) sensors by identifying faults using a finite-time sliding mode observer (SMO). The finite-time SMO is designed based on a kinematic model suitable to diagnose IMU sensor faults. To overcome the fault quickly and accurately, we design the finite-time SMO that ensures fast convergence and can consider high-order derivatives of disturbance (fault). The identified faults are removed from sensor measurements to estimate healthy measurements. Fault simulations demonstrate that the observer quickly estimates the faults, enabling flight without degradation in attitude tracking performance.

Chungnam National University (KR)
National Research Foundation of Korea, Research and Development
Climate action
Openalex Percentile: Top 39%
Fault Detection and Control Systems
0.33
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Fault Diagnosis of IMU Sensor with Finite-time Sliding Mode Observer — Seungkeun Kim, Jinyoung Suk, et al. · (2024) | TGRS Research Map | TGRS