Satellite power source main bus-bar current interval prediction method

Abstract

The invention discloses a satellite power source main bus-bar current interval prediction method. According to the method, based on a prediction model trained by an optimized kernel extreme learning machine, a prediction interval is determined by using a proportionality coefficient method, and the parameters of the proportionality coefficient method are optimized by using a differential evolution algorithm. The method specifically includes the following steps that: satellite power source main bus-bar bus current data are preprocessed, noise data can be removed, and normalized data can be obtained; the parameters of the kernel extreme learning machine are optimized by adopting the differential evolution algorithm; the optimized kernel extreme learning machine is adopt to construct an initial prediction model; comprehensive indexes for evaluating the quality of the prediction interval are given, the prediction interval is determined through adopting the proportionality coefficient method, and the satisfaction degree of the prediction interval is evaluated; and the prediction proportionality coefficient of the interval is optimized through using the differential evolution algorithm, so that an optimal satellite power source main bus-bar current prediction interval can be obtained. The satellite power source main bus-bar current interval prediction method of the invention is based on complicate satellite power source main bus-bar current data, and has the advantages of higher prediction accuracy and better effect.

Description

technical field [0001] The invention relates to a method for predicting the current interval of the main busbar of a satellite power supply. The method is based on the prediction model trained by the optimized nuclear extreme learning machine, and uses the proportional coefficient method optimized by the differential evolution algorithm to determine the prediction interval. The invention belongs to aerospace science and computer science. cross field. Background technique [0002] Satellite is a large-scale multifunctional and complex system developed by combining remote sensing, communication and other technologies. It is the main way for human beings to explore the universe. The satellite power system is the functional subsystem of the system. It provides energy for the normal operation of all satellite equipment, and mainly completes tasks such as generating electric energy, storing energy, transforming and regulating energy, and transmitting and distributing electric ener...

AI Technical Summary

Problems solved by technology

[0005] Although the probability of satellite in-orbit abnormality is very small, once it occurs, it is very likely to interrupt the satellite's work mission or even cause the satellite to fall, and the loss caused is fatal.

For example, if a communication satellite fails, the signal will be interrupted, and the communication equipment will not be able to continue to be used; another example is that the meteorological satellite will work abnormally, which will cause the meteorological staff to be unable to obtain weather information in a timely and effective manner; the failure of the navigation satellite will cause the ground receiving end to fail Obtain a geographic location signal, and thus cannot make an accurate judgment on the geographic location

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