Aerospace BDR module residual life prediction method based on particle swarm optimization

Abstract

The invention discloses a particle swarm optimization-based spaceflight BDR module residual life prediction method. The method comprises the following steps of S1, determining key components; s2, carrying out degradation mechanism analysis on the key components; s3, constructing an aerospace BDR module degradation mechanism model; s4, calculating the residual life prediction root-mean-square error of the module, and taking the residual life prediction root-mean-square error as a fitness function of a particle swarm algorithm; s5, calculating a particle fitness value according to the fitness function of the particle swarm; s6, recording the optimal positions of the individuals and the population, updating the speed and the position of the particles, and determining the global optimal positions of the individuals and the population; and S7, judging whether the root-mean-square error is minimum or not, if the root-mean-square error does not reach the minimum value, returning to the step S5, continuing iteration, and if the root-mean-square error reaches the minimum value or the number of iterations is equal to the maximum number of iterations, ending the iteration. According to the invention, residual life prediction can be carried out on the spaceflight BDR module, and the obtained residual life prediction method also provides method support for guiding residual life prediction of other spaceflight electronic products.

Description

technical field [0001] The invention relates to the field of prediction of the remaining life of aerospace electronic products, in particular to a method for predicting the remaining life of an aerospace BDR module based on a particle swarm algorithm. Background technique [0002] The aerospace BDR module is a key module in the power controller, which is a kind of aerospace electronic products, and its remaining service life also determines the remaining service life of the spacecraft. At present, there are few domestic studies on the remaining life prediction of aerospace BDR modules. Traditional statistical methods cannot accurately predict the remaining life of aerospace BDR modules. Many spacecraft still use backup aerospace BDR modules to improve system stability. , This method of relying on over-design of products not only increases the volume, weight and production costs, but also increases the complexity of system control. Contents of the invention [0003] In ord...

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Problems solved by technology

At present, there are few domestic studies on the remaining life prediction of aerospace BDR modules. Traditional statistical methods cannot accurately predict the remaining life of aerospace BDR modules. Many spacecraft still use backup aerospace BDR modules to improve system stability. , this method of relying on over-design of products not only increases the volume, weight and production cost, but also increases the complexity of system control

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