With the continuous development of the space industry, the role of satellite become more and more important in China’s national economic construction, disaster prevention and mitigation. Power system is one of the important sub-systems that directly impact the in-orbit safe and affection of satellites. Satellite solar array determine the current output of whole satellite. The paper shows the solar array current prediction method based on unsupervised learning which can solve the low-orbit satellite solar array current prediction problem. This method introduces the competition elements that establish the mapping relation between the historical data and the competition element, obtains the best sample through the competition between the competition elements in the prediction processes, the relation functions take the best sample data as the benchmark which can realize the prediction of solar cell array output. Through competition the information of temperature, earth reflection, conversion efficiency and attenuation factors in the sample data are introduced effectively, and the description of such factors in the prediction process is avoided. Through the actual data analysis, we realize the extrapolation of the one-year current mean error is not more than 0.4 a, and the maximum error is not more than 0.5 a. The prediction algorithm for the solar cell array of low orbit satellites without the mathematical description of temperature, earth reflection, conversion efficiency and attenuation factors can predict the reasonable introduction of the above factors.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Low-Orbit Satellite Solar Array Current Prediction Method Based on Unsupervised Learning


    Weitere Titelangaben:

    Lect.Notes Social.Inform.


    Beteiligte:
    Wu, Qihui (Herausgeber:in) / Zhao, Kanglian (Herausgeber:in) / Ding, Xiaojin (Herausgeber:in) / Wu, Guan (Autor:in) / Chen, Jun (Autor:in) / Zhang, Wei (Autor:in) / Hu, Xing (Autor:in) / Zhao, Jing (Autor:in)

    Kongress:

    International Conference on Wireless and Satellite Systems ; 2020 ; Nanjing, China September 17, 2020 - September 18, 2020



    Erscheinungsdatum :

    28.02.2021


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Research on Abnormal Output Current Drop of Solar Array of a Low Earth Orbit Satellite

    Bai, Shuhua / Wang, Wenyan / Chen, Zhilong et al. | IEEE | 2021



    Fault probability reduction method for low-orbit satellite solar cell array diverter

    PAN YANHUI / LI QIANG / GUO XIAOHONG et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Solar array driving swinging method for low-dip-angle orbit radar satellite

    LU QING / SUN YONGYAN / WAN XIANGCHENG et al. | Europäisches Patentamt | 2015

    Freier Zugriff

    Cluster and Integral In-Orbit Solar Array Performance Prediction

    d Accolti, G. / Gonzalez, J.R. / Taylor, S. et al. | British Library Conference Proceedings | 2014