无人机飞控系统故障诊断技术研究综述

doi:10.3778/j.issn.1002-8331.2305-0137

摘要/Abstract

摘要： 近年来，无人机因其运行成本低、机动性强等独特优势被广泛应用于军民各复杂领域；同时，复杂多样的任务对无人机系统的可靠性和安全性提出了更高的要求。无人机故障诊断技术能够及时准确地提供诊断结果，有助于无人机的维护、保养与维修，对提升无人机的作战效能具有重要意义。因此，从无人机的飞控系统剖析各类常见故障的机理，并进行故障归类。主要围绕飞控系统中的传感器、执行器和其他部件的故障诊断技术，分析总结了无人机故障诊断技术的研究方法和现状。探讨了无人机故障诊断技术面临的主要挑战，并指出了未来的发展方向；旨在为无人机故障诊断技术领域研究人员提供一定参考，促进我国无人机故障诊断技术水平的提升。

关键词: 无人机, 传感器故障, 执行机构故障, 故障诊断

Abstract: In recent years, unmanned aerial vehicles（UAVs） have been widely used in various complex fields of military and civilian applications due to their unique advantages such as low operating costs and high mobility. At the same time, the complex and diverse missions have put forward higher requirements for the reliability and safety of UAV systems. The UAV fault diagnosis technology can provide timely and accurate diagnosis results, which helps the maintenance, repair and servicing of UAVs, and is of great significance in enhancing the combat effectiveness of UAVs. Therefore, this paper firstly analyses UAV flight control systems, and classifies the faults. Secondly, the research methods and status quo of UAV fault diagnosis technology are analysed and summarised. Finally, the main challenges faced by UAV fault diagnosis technology are discussed and the future development direction is pointed out; the aim is to provide some reference for researchers in the field of UAV fault diagnosis technology and to promote the improvement of UAV fault diagnosis technology level in China.

Key words: unmanned aerial vehicle, sensor fault, actuator fault, fault diagnosis

安雪, 李少波, 张仪宗, 张安思. 无人机飞控系统故障诊断技术研究综述[J]. 计算机工程与应用, 2023, 59(24): 1-15.

AN Xue, LI Shaobo, ZHANG Yizong, ZHANG Ansi. Review of Fault Diagnosis Techniques for UAV Flight Control Systems[J]. Computer Engineering and Applications, 2023, 59(24): 1-15.

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