State perception optimization method for improving fault diagnosability in noise environment

Abstract

The invention discloses a state perception optimization method for improving fault diagnosability in a noise environment. The method comprises the following steps: firstly obtaining quantitative fault diagnosability performance indexes by considering the influence of process noise and observation noise; subsequently building a genetic algorithm fitness function by taking minimum cost of measuring point arrangement as an optimization target; finally performing state perception selection based on a binary system genetic algorithm, thus finishing the state sensor optimizing process. The method has the advantages of transferring the key emphasis in work for improving the system fault diagnosis capability to a design stage, thereby ensuring the stability and the design accuracy of a random linear dynamic system, greatly reducing the number of state perception simultaneously, reducing the configuration number of sensors in a satellite control system and reducing the design cost of the satellite control system.

Description

technical field [0001] The invention relates to a state perception optimization method for improving fault diagnosability, in particular to a state perception optimization method for improving fault diagnosability under noise environment, and belongs to the field of aerospace control. Background technique [0002] With the rapid development of modern control technology and the increasing demands on system performance, the structure of the control system is becoming larger and larger, and its functions are becoming more and more complex. Various failures are inevitable in complex systems, resulting in system performance degradation and even complete collapse in severe cases. In the satellite control system, a small failure may cause a huge disaster, bringing immeasurable losses. Therefore, in order to ensure the operation quality of the control system, it is necessary to improve the fault diagnosis and processing capabilities of the system to ensure that after the fault occu...

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Problems solved by technology

At present, in the design process of the satellite control system, the optimal layout of the state-aware system for improving fault diagnosability has not been considered, and the selection of diagnostic information mainly depends on the experience of the designer, which leads to poor diagnosability of the satellite control system

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