调试
断层(地质)
容错
执行机构
故障检测与隔离
计算机科学
根本原因
实时计算
工程类
嵌入式系统
控制工程
可靠性工程
人工智能
地震学
程序设计语言
地质学
作者
George K. Fourlas,George C. Karras
出处
期刊:Machines
[Multidisciplinary Digital Publishing Institute]
日期:2021-09-13
卷期号:9 (9): 197-197
被引量:95
标识
DOI:10.3390/machines9090197
摘要
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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