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A Survey on Fault Diagnosis and Fault-Tolerant Control Methods for Unmanned Aerial Vehicles

Journal

MACHINES
Volume 9, Issue 9, Pages -

Publisher

MDPI
DOI: 10.3390/machines9090197

Keywords

fault diagnosis; fault tolerant control; anomaly detection; unmanned aerial vehicles

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The continuous evolution of modern technology has led to the creation of increasingly complex and advanced systems, including Unmanned Aerial Vehicles (UAVs) where fault diagnosis and fault tolerance are crucial for ensuring reliable performance. Specifically designed fault-monitoring systems are required to supervise and debug subsystems such as sensors and actuators to prevent disastrous consequences.
The continuous evolution of modern technology has led to the creation of increasingly complex and advanced systems. This has been also reflected in the technology of Unmanned Aerial Vehicles (UAVs), where the growing demand for more reliable performance necessitates the development of sophisticated techniques that provide fault diagnosis and fault tolerance in a timely and accurate manner. Typically, a UAV consists of three types of subsystems: actuators, main structure and sensors. Therefore, a fault-monitoring system must be specifically designed to supervise and debug each of these subsystems, so that any faults can be addressed before they lead to disastrous consequences. In this survey article, we provide a detailed overview of recent advances and studies regarding fault diagnosis, Fault-Tolerant Control (FTC) and anomaly detection for UAVs. Concerning fault diagnosis, our interest is mainly focused on sensors and actuators, as these subsystems are mostly prone to faults, while their healthy operation usually ensures the smooth and reliable performance of the aerial vehicle.

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