Method and device for diagnosing faults of multi-mode flight control system

Abstract

The invention provides a method for diagnosing faults of a multi-model flight control system based on expected model expansion, comprising the following steps: making a statistic of various faults of the flight control system, and building a basic model collection; forecasting the probability of the multiple fault models at the current time, and building an expected model collection; combining the basic model collection with the expected model collection to build a fault model collection at the current time; filtering each fault model in the model collection at the current time, and updating the probability; if the probability of certain fault model in the model collection at the current time is more than or equal to the preset probability threshold value, judging that the flight control system has the fault corresponding to the fault model. The invention further provides a device for diagnosing the faults of the multi-model flight control system based on expected model expansion, comprising a basic model collection building module, an expected model collection building module, a model collection at the current time building module, a filtering and probability updating module and a fault judging module. The invention further provides a flight control system.

Description

technical field [0001] The invention relates to the technical field of flight control, in particular to a multi-model flight control system fault diagnosis method based on expected mode expansion, a fault diagnosis device and a flight control system. Background technique [0002] Since the early 1980s, self-healing flight control has attracted more and more attention as a new fault handling method, and one of the important aspects is the fault detection and diagnosis system. The development of autonomous fault diagnosis system can not only provide guarantee for self-healing control and realize online reconfiguration control, but also provide ground maintenance personnel with various information of aircraft status, and provide effective help for ground work. Therefore, in modern aircraft flight, a fast and accurate autonomous fault diagnosis method can greatly improve the reliability, maintainability, survivability and reduce the life-cycle cost of the aircraft flight control...

AI Technical Summary

Problems solved by technology

[0007] For this reason, the first purpose of the embodiment of the present invention is to propose a multi-model flight control system fault diagnosis method based on expected mode expansion. By adopting the expected mode expansion, the online adaptive update of the model set is realized, and the expected model is used to Describe the possible failure modes of the system in the future, solve the problem of a huge model set, obtain a fast and accurate fault diagnosis method, and detect single or multiple faults online in real time, providing the basis and guarantee for self-repair control and maintenance decisions

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