A Method for Acquiring Fault Detectability of Spacecraft System Based on Distance Similarity

Abstract

The invention relates to a method for obtaining fault detectability of a spacecraft system based on distance similarity, which belongs to the field of space technology. The method of the present invention is based on the vector-subspace distance, and considers the influence of unknown input on the system detectability, realizes the mathematical description of faults that are completely detectable and conditionally detectable, and greatly improves the accuracy of the results obtained by the detectability of the existing system sex. Compared with the existing methods, the method of the invention has a larger application range, sufficient flexibility and stronger applicability. Through the application on the control system, it is proved 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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