Spacecraft system fault detection acquisition method based on distance similarity

Abstract

The invention discloses a spacecraft system fault detection acquisition method based on distance similarity, and belongs to the technical field of space. According to the method, based on vector-subspace distance, the influence of unknown input on the system detectability is considered, mathematical description of complete fault detectability and condition detectability is realized, and the accuracy of the detectability acquisition result of the existing system is greatly improved. Compared with the existing method, the method provided by the invention has the advantages of larger applicationrange, enough flexibility and stronger applicability. Application to a control system proves that the method is effective and feasible.

Description

technical field [0001] The invention relates to a method for obtaining fault detectability of a spacecraft system based on distance similarity, and belongs to the field of space technology. Background technique [0002] Accurate and quantitative acquisition of detectability for complex nonlinear models of spacecraft systems is the basic guarantee and important prerequisite for improving the level of system detectability design. Complete flight missions. Fault detectability is an important attribute of the system itself. Incorporating it into the design process of the spacecraft system can fundamentally reduce the difficulty of system fault detection and make the system "innately" with high detectability. Effectively improve the quality of the spacecraft in orbit. [0003] Fault detectability acquisition usually includes: qualitative discrimination and quantitative description. The main consideration of qualitative discrimination is whether the fault can be detected, and m...

AI Technical Summary

Problems solved by technology

However, most of the existing research focuses on the detection of linear system models or the qualitative judgment of the detection of nonlinear system models, and has not realized the quantitative detection of fault detectability of nonlinear system models, that is, it cannot pass the existing detection methods. The degree of difficulty in detecting the fault can be understood through the qualitative criterion, and the quantitative results can help optimize the configuration and algorithm of the spacecraft system during the system design and fault detection algorithm design stages

At this stage, only a few literatures consider the quantitative description of nonlinear system models, and the existing methods do not consider the impact of unknown inputs on fault detectability

In essence, in engineering practice, the spacecraft system is inevitably affected by unknown input factors such as external disturbances and model uncertainties. At the same time, due to the increasingly complex functional structure of the spacecraft, the nonlinear The linearization of the model will cause a certain deviation in the fault detection results

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