Fault detectable degree analytical method for unmanned aerial vehicle flight control system

Abstract

The invention relates to a fault detectable degree analytical method for an unmanned aerial vehicle flight control system. Unmanned aerial vehicle fault detection algorithm design and sensor configuration need to quantitatively analyze the difficulty level of fault detection. An unmanned aerial vehicle flight control system model is established according to an unmanned aerial vehicle closed loop nonlinearity flight control system and fault types; the flight process is segmented according to different flight states of an unmanned aerial vehicle, and small perturbation linearized models are established at all periods; faults and derivatives of the faults serve as extension states, and a dimension expansion piecewise linear time-invariant system model is established; a state observable degree index based on singular value decomposition serves as a quantitative evaluation index of fault detectable degree, according to the quantitative evaluation index, the difference of detectable degrees of the faults of the unmanned aerial vehicle in different flight states is quantitatively analyzed from the fault estimation view, and a reference basis is provided for the fault detection algorithm design and unmanned aerial vehicle sensor configuration.

Description

technical field [0001] The invention relates to a fault detectability analysis method of a UAV flight control system, which is used for quantitatively analyzing the difficulty of fault detection of the UAV flight control system from the perspective of fault estimation, and belongs to the technical field of UAV system fault detection. Background technique [0002] UAVs can fly remotely or autonomously. They have the advantages of light weight, small size, good maneuverability, and are not subject to the operator's physiological constraints and flight environment restrictions. They are widely used in modern warfare, geological exploration, and scientific experiments. Its military and civilian application prospects are very impressive. [0003] UAVs are susceptible to complex environmental factors during flight, and failures will inevitably occur. Failures will cause the flight control system to fail to operate normally, and even cause aircraft crashes. Therefore, it is importa...

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Problems solved by technology

[0005] In short, most of the existing methods are aimed at the problem of fault detectability analysis, and there is no literature or patent to analyze the fault detectability from the perspective of fault estimation, especially the quantitative evaluation of fault detectability needs to be further studied

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