Affiliation:
1. School of Astronautics, Beihang University, Beijing 100191, China
Abstract
Electric propulsion is of great significance to the development of high-efficiency and long-life satellites, and digital twins have gradually become a powerful tool for satellite engineering. Being affected by uncertainty factors such as the complexity and variability of the space environment and the satellite system, the digital twin model cannot accurately reflect the real physical properties. Therefore, it is crucial to update the satellite model to improve prediction accuracy. However, the complex structure and multi-physics process coupling of vector electric-propulsion satellites bring great challenges to model updating. According to the characteristics of the vector electric-propulsion satellite, this paper establishes mathematical models of the whole satellite. Additionally, a hierarchical model updating method is proposed and applied to the model updating case of a satellite with multiple subsystems. The simulation results show that the method is suitable for the model updating of the vector electric-propulsion satellite. Through multiple iterations of closed-loop cycles, the residual errors between the simulation values and the telemetry values can be decreased, and the errors between the estimated values and the true values of state variables can also be decreased by an order of magnitude.
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference27 articles.
1. Electric Propulsion for Satellites and Spacecraft: Established Technologies and Novel Approaches;Mazouffre;Plasma Sources Sci. Technol.,2016
2. Potrivitu, G.-C., Sun, Y., bin Rohaizat, M.W.A., Cherkun, O., Xu, L., Huang, S., and Xu, S. (2020). A Review of Low-Power Electric Propulsion Research at the Space Propulsion Centre Singapore. Aerospace, 7.
3. The Technological and Commercial Expansion of Electric Propulsion;Lev;Acta Astronaut.,2019
4. Smart Manufacturing and Intelligent Manufacturing: A Comparative Review;Wang;Engineering,2021
5. Digital Twin in Smart Manufacturing;Li;J. Ind. Inf. Integr.,2022
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