Fault diagnosis method suitable for electrical system of unmanned aerial vehicle

Abstract

A fault diagnosis method suitable for an electrical system of an unmanned aerial vehicle comprises the following steps of: establishing a fault diagnosis knowledge library and a fault symptom set of the electrical system of the unmanned aerial vehicle at first and then taking out a fault diagnosis rule completely containing all symptoms and all fault diagnosis decision tables; and outputting a fault reason with the highest diagnosis success frequency as a fault diagnosis prediction result, verifying the fault reason, and if the verification is passed, taking the fault reason as a final diagnosis result for positioning a fault mode to finish autonomous and quick dynamic reconfiguration, otherwise, reselecting the fault reason. The method greatly improves the reliability and fault-tolerant capability of the electrical system, thereby having relatively high engineering application values.

Description

technical field [0001] The invention relates to a fault diagnosis method, in particular to a fault diagnosis method applicable to an electrical system of an unmanned aircraft, and belongs to the field of electrical system design. Background technique [0002] When the new generation of unmanned aerial vehicles completes the assigned tasks, it must not only have high efficiency but also have better safety. A fast and dynamically reconfigurable electrical system suitable for unmanned aerial vehicles will not significantly increase the overhead of software and hardware resources to achieve more For safe flight, the remaining resources can be redistributed according to the loss of capability and the priority of mission functions, and the execution resources can realize the dynamic configuration and reconstruction of resources. In terms of system reconfiguration design, the focus of attention at home and abroad is on the redundant architecture and system backup methods of aircraf...

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Problems solved by technology

In terms of system reconfiguration design, the focus of attention at home and abroad is on the redundant architecture and system backup methods of the aircraft electrical system. Generally, the form of logical reconfiguration in the event of a failure is set in advance through the analysis of the failure mode, and it is difficult to meet the requirements of unknown failures. The demand for rapid and autonomous system reconfiguration in the state also reduces the fault tolerance and high reliability of the electrical system to a certain extent.

[0003] The continuous development of data mining technology provides effective theoretical and tool support for the analysis and extraction of valuable knowledge from massive satellite measurement and control data, and the application of data mining technology in satellite fault diagnosis and prediction has been studied at home and abroad , but this type of fault detection method is only designed for conventional foreseeable faults, and when the faults that occur are quite different from the pre-assumed faults, this method cannot obtain satisfactory results

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