Satellite solar cell array output power attenuation assessment method based on clustering analysis

Abstract

The invention discloses a satellite solar cell array output power attenuation assessment method based on clustering analysis. The method comprises the steps of step 1, obtaining a satellite solar cellarray telemetry parameter data set within a period of time; step 2, performing data preprocessing on the telemetry parameter data; step 3, performing clustering analysis on the preprocessed data to obtain ks group data; step 4, performing output power attenuation estimation on each group of data after clustering analysis; and step 5, calculating total attenuation estimation and outputting the total attenuation estimation. The same power generation working condition points of the solar cell array are found through clustering. Then, each group of clustered data is periodically identified. The periodic trend is eliminated. The on-orbit attenuation condition of the solar cell array is obtained through fitting after the period is removed. In addition, the influence of other factors such as earth albedo, celestial body shielding and the like is considered, so that the attenuation estimation result of the solar cell array is more accurate, and the calculation is simple and rapid.

Description

technical field [0001] The invention relates to the field of satellite solar cell arrays, in particular to a method for evaluating output power attenuation of satellite solar cell arrays based on cluster analysis. Background technique [0002] With the great development of my country's aerospace industry, the number of satellites in orbit is also increasing year by year. In order to effectively manage and use these satellites, ground personnel need to keep abreast of the health status of key satellite components or subsystems. The power system is one of the most critical subsystems of the satellite platform. The solar array is an important power source of the satellite power system. It directly affects the working status of the entire spacecraft, so it is particularly important to evaluate the health status of the solar array in time. [0003] The output power of a solar cell array in space is generally affected by the following three factors: first, the intensity of sunli...

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Problems solved by technology

However, these two methods have high data requirements. The analysis of the remaining life of the solar cell array based on the hidden Markov model needs to provide the probability distribution of the working conditions of the solar cell array in different scenarios and different working conditions. It is difficult to give such a probability distribution

The method based on the standard formula of solar cell array output power usually requires multiple parameters such as temperature, solar incident angle, and solar radiation intensity, while the parameters such as current and voltage of satellite solar cell arrays are generally obtained through the power supply system, but parameters such as solar incident angle It needs to be obtained from the satellite attitude control system, so these parameters usually cannot be obtained from one system or one way in the actual situation, resulting in the degradation estimation of the solar array is not easy to achieve and the calculation is complicated

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