Dynamic Modeling and Energy-Optimal Switching Model Predictive Control for Space Antenna Satellites

The efficient operation of space antenna satellites (SASs) is crucial in space missions, in which minimizing energy consumption poses significant challenges. This paper proposes a rigid–flexible coupling dynamic model for an SAS system. The model incorporates the antenna's cyclic symmetric structure and reduces its order by constructing repeated fundamental modes. Additionally, an energy-optimal switching model predictive control approach is proposed to optimize the satellite's energy consumption during target switching. Numerical experiments are presented to validate the effectiveness of the proposed dynamic model and control strategy. The results show significant energy savings and considerably enhanced vibration suppression compared with traditional methods.

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Publication Details

Journal
IEEE Transactions on Aerospace and Electronic Systems
Published
2025-04-14
DOI
https://doi.org/10.1109/taes.2025.3560270
Citations
2
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
9.99

Funders

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article

Dynamic Modeling and Energy-Optimal Switching Model Predictive Control for Space Antenna Satellites

Fuxiang Dong, Yi Ji, Guanghui Sun, Feng Gao
2 citations
IEEE Transactions on Aerospace and Electronic Systems
Satellite Communication Systems
9.99
article

Dynamic Modeling and Energy-Optimal Switching Model Predictive Control for Space Antenna Satellites

Fuxiang Dong, Yi Ji, Guanghui Sun, Feng Gao
article en
2 citations

Abstract

The efficient operation of space antenna satellites (SASs) is crucial in space missions, in which minimizing energy consumption poses significant challenges. This paper proposes a rigid–flexible coupling dynamic model for an SAS system. The model incorporates the antenna's cyclic symmetric structure and reduces its order by constructing repeated fundamental modes. Additionally, an energy-optimal switching model predictive control approach is proposed to optimize the satellite's energy consumption during target switching. Numerical experiments are presented to validate the effectiveness of the proposed dynamic model and control strategy. The results show significant energy savings and considerably enhanced vibration suppression compared with traditional methods.

IEEE Transactions on Aerospace and Electronic SystemsVol. 61(4)
China Academy of Space Technology (CN), Harbin Institute of Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 3%
Satellite Communication Systems
9.99
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Dynamic Modeling and Energy-Optimal Switching Model Predictive Control for Space Antenna Satellites — Fuxiang Dong, Yi Ji, et al. · IEEE Transactions on Aerospace and Electronic Systems (2025) | TGRS Research Map | TGRS