基于混合诊断引擎的无人机飞控系统故障诊断技术研究

Mingjie Chen, Jin Yan, Tieying Li, Chengzhi Chi
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引用次数: 2

摘要

为了解决无人机飞控系统故障的实时诊断问题,提出了一种基于混合诊断引擎的故障诊断方法。针对飞控系统中各节点的多种故障模式和交联关系,采用定性和定量的方法建立系统参考模型,然后根据飞控系统的具体模型建立相应的域模型。最后,基于该模型和混合诊断引擎的故障诊断推理引擎实现了对系统当前故障的诊断。结果表明,该方法能够实时、准确地确定故障发生的时间和位置,为提高无人机故障诊断效率、提高无人机的飞行安全性提供了有效保障。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Fault Diagnosis Technology of UAV Flight Control System Based on Hybrid Diagnosis Engine
In order to solve the problem of real-time fault diagnosis of UAV flight control system, a fault diagnosis method based on hybrid diagnosis engine is proposed. Aiming at the multiple fault modes and cross-linking relationships of each node in the flight control system, the system reference model is established by qualitative and quantitative methods, and then a corresponding domain model is established according to the flight control system of a specific model. Finally, the fault diagnosis reasoning engine based on the model and the hybrid diagnosis engine realizes the diagnosis of the current fault of the system. The results show that this method can determine the time and location of the fault in real time and accurately, which provides an effective guarantee for improving the efficiency of UAV fault diagnosis and improving the flight safety of UAV.
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