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dc.creatorFourlas G.K., Karras G.C.en
dc.date.accessioned2023-01-31T07:38:44Z
dc.date.available2023-01-31T07:38:44Z
dc.date.issued2021
dc.identifier10.3390/machines9090197
dc.identifier.issn20751702
dc.identifier.urihttp://hdl.handle.net/11615/71753
dc.description.abstractThe 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. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.en
dc.language.isoenen
dc.sourceMachinesen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85115656466&doi=10.3390%2fmachines9090197&partnerID=40&md5=9eb86e94863256f72a9593760c785521
dc.subjectMDPIen
dc.titleA survey on fault diagnosis and fault-tolerant control methods for unmanned aerial vehicles †en
dc.typejournalArticleen


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