A Particle Filtering Approach for Fault Detection and Isolation of UAV IMU Sensors: Design, Implementation and Sensitivity Analysis

A Particle Filtering Approach for Fault Detection and Isolation of UAV IMU Sensors: Design, Implementation and Sensitivity Analysis

Sensor fault detection and isolation (SFDI) is a fundamental topic in unmanned aerial vehicle (UAV) development, where attitude estimation plays a key role in flight control systems and its accuracy is crucial for UAV reliability. In commercial drones with low maximum take-off weights, typical redun...

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Bibliographic Details
Main Authors: Egidio D’Amato, Vito Antonio Nardi, Immacolata Notaro, Valerio Scordamaglia
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
fault detection and isolation
particle filter
UAV fault detection
FDI
fault tolerant attitude estimation
duplex attitude estimation architecture
Online Access:https://www.mdpi.com/1424-8220/21/9/3066

Internet

https://www.mdpi.com/1424-8220/21/9/3066

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