Configuration Maintenance in Multisatellite Orbits Via Co-Phase and Control Optimization

Orbital altitude deviations and perturbations (e.g., Earth’s <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$J_{2}$</tex-math></inline-formula> effect, atmospheric drag) cause phase drift among multisatellites, disrupting the overall configuration. This article presents an optimization-based relative configuration maintenance strategy to maintain the orbital configuration of multiple satellites. We propose a bi-objective optimization framework, which independently optimizes the nominal point and the control input. Unlike conventional methods, the proposed approach systematically adjusts the expected positions of all satellites to minimize relative deviations during each control cycle. The strategy ensures that all satellites reach their assigned station-keeping regions while minimizing the total energy consumption. In addition, phase errors among satellites are explicitly considered in the control input optimization, enabling a precise configuration maintenance. The strategy also accounts for a long-term orbital altitude stability. Simulation results under three distinct orbital altitude scenarios validate the effectiveness, stability, and robustness of the proposed approach in coordinating multisatellite systems under complex orbital conditions.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Aerospace and Electronic Systems
Published
2025-08-08
DOI
https://doi.org/10.1109/taes.2025.3597287
Citations
1
Primary Topic
Spacecraft Design and Technology
Type
article
Field-Weighted Citation Impact
4.99
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Configuration Maintenance in Multisatellite Orbits Via Co-Phase and Control Optimization

Chengxi Zhang, Dezhi Xu, Bin Jiang, Renuganth Varatharajoo et al.
1 citations
IEEE Transactions on Aerospace and Electronic Systems
Spacecraft Design and Technology
4.99
article

Configuration Maintenance in Multisatellite Orbits Via Co-Phase and Control Optimization

Chengxi Zhang, Dezhi Xu, Bin Jiang, Renuganth Varatharajoo, Jin Wu, Tianle Yin, Jihe Wang
article en
1 citations

Abstract

Orbital altitude deviations and perturbations (e.g., Earth’s <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$J_{2}$</tex-math></inline-formula> effect, atmospheric drag) cause phase drift among multisatellites, disrupting the overall configuration. This article presents an optimization-based relative configuration maintenance strategy to maintain the orbital configuration of multiple satellites. We propose a bi-objective optimization framework, which independently optimizes the nominal point and the control input. Unlike conventional methods, the proposed approach systematically adjusts the expected positions of all satellites to minimize relative deviations during each control cycle. The strategy ensures that all satellites reach their assigned station-keeping regions while minimizing the total energy consumption. In addition, phase errors among satellites are explicitly considered in the control input optimization, enabling a precise configuration maintenance. The strategy also accounts for a long-term orbital altitude stability. Simulation results under three distinct orbital altitude scenarios validate the effectiveness, stability, and robustness of the proposed approach in coordinating multisatellite systems under complex orbital conditions.

IEEE Transactions on Aerospace and Electronic SystemsVol. 61(6)
Jiangnan University (CN), Universiti Putra Malaysia (MY), Southeast University (CN), University of Science and Technology Beijing (CN), Nanjing University of Aeronautics and Astronautics (CN)
Affordable and clean energy
Openalex Percentile: Top 5%
Spacecraft Design and Technology
4.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.