A Fault Detection Method for UAV Flight Control System

A flight control system and fault detection technology, which is applied in general control systems, control/adjustment systems, test/monitoring control systems, etc., can solve problems such as reducing the amount of fault detection calculations
CN108170127BInactive Publication Date: 2019-07-26SHANDONG UNIV OF SCI & TECH

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
SHANDONG UNIV OF SCI & TECH
Publication Date
2019-07-26
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention relates to a fault detection method of an unmanned aerial vehicle flight control system. This method can realize the online detection of actuator and sensor faults in the flight control system of fixed-wing UAV. Based on the UAV dynamic equation and fault type, the present invention establishes a continuous nonlinear fault model of the UAV flight control system; and then transforms the UAV flight control system continuous nonlinear fault model into a UAV A discrete time-varying fault model for flight control, and an equivalent space method for fault detection in UAV flight control systems. Aiming at the poor robustness of the traditional equivalent space method under unknown disturbances, a robustness performance index is designed to improve the robustness of system fault detection; in view of the large amount of calculation of the traditional equivalent space method for online fault detection, In the Krein space, the recursive calculation of the residual evaluation function is realized by using the extended Kalman filter equation to reduce the amount of calculation. The method proposed by the invention can realize the rapid alarm of the failure of the UAV sensor and the actuator, and provide an effective basis for the failure detection of the UAV flight control system.
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Description

technical field

[0001] The invention relates to a fault detection method of a UAV flight control system, which is used for online fault detection of sensors and actuators in the UAV flight control system, and belongs to the technical field of UAV system fault diagnosis. Background technique

[0002] In recent years, as an important branch of analytical redundancy, model-based fault detection methods have been widely used in the fault detection of UAV flight control systems, and have achieved fruitful results. The model-based fault detection method uses the inherent analytical relationship between the input and output variables of the system, obtains the residual sequence through the actual output of the system and the theoretical output of the algorithm, and judges the fault state of the system accordingly. It can deeply understand the dynamic performance of the system according to the analytical mathematical model of the system. The advantage is that the fault detection cal...

Claims

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