English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The prediction of the propellant remaining is related to the use efficiency of the propellant, it is of great significance for the estimation of the remaining life of the spacecraft. The gauging uncertainty of the commonly used propellant remaining prediction method is high, and the single gauging method can not meet the higher requirements of long life satellites onorbit management. In order to further improve the accuracy of the spacecraft propellant remaining prediction, combined with the characteristics of the existing propellant remaining estimation method, a real-time estimation method of propellant remaining is proposed. The algorithm combines two gauging methods to further improve the reliability of propellant consumption estimation. The practical application shows that the algorithm can effectively reduce the disadvantages of the BK method and the PVT method, and provide a more reasonable estimation of the real-time propellant remaining.

Application of Kalman Filter in Satellite Propellant Remaining Prediction Technology