Research on Distributed Collaborative Task Planning and Countermeasure Strategies for Satellites Based on Game Theory Driven Approach
With the rapid advancement of space technology, satellites are playing an increasingly vital role in fields such as Earth observation, communication and navigation, space exploration, and military applications. Efficiently deploying satellite missions under multi-objective, multi-constraint, and dyn...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/15/2640 |
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| author | Huayu Gao Junqi Wang Xusheng Xu Qiufan Yuan Pei Wang Daming Zhou |
| author_facet | Huayu Gao Junqi Wang Xusheng Xu Qiufan Yuan Pei Wang Daming Zhou |
| author_sort | Huayu Gao |
| collection | DOAJ |
| description | With the rapid advancement of space technology, satellites are playing an increasingly vital role in fields such as Earth observation, communication and navigation, space exploration, and military applications. Efficiently deploying satellite missions under multi-objective, multi-constraint, and dynamic environments has become a critical challenge in the current aerospace domain. This paper integrates the concepts of game theory and proposes a distributed collaborative task model suitable for on-orbit satellite mission planning. A two-player impulsive maneuver game model is constructed using differential game theory. Based on the ideas of Nash equilibrium and distributed collaboration, multi-agent technology is applied to the distributed collaborative task planning, achieving collaborative allocation and countermeasure strategies for multi-objective and multi-satellite scenarios. Experimental results demonstrate that the method proposed in this paper exhibits good adaptability and robustness in multiple impulse scheduling, maneuver strategy iteration, and heterogeneous resource utilization, providing a feasible technical approach for mission planning and game confrontation in satellite clusters. |
| format | Article |
| id | doaj-art-e4248f1b03a044b59712d41749a43e33 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-e4248f1b03a044b59712d41749a43e332025-08-20T03:36:22ZengMDPI AGRemote Sensing2072-42922025-07-011715264010.3390/rs17152640Research on Distributed Collaborative Task Planning and Countermeasure Strategies for Satellites Based on Game Theory Driven ApproachHuayu Gao0Junqi Wang1Xusheng Xu2Qiufan Yuan3Pei Wang4Daming Zhou5School of Astronautics, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Astronautics, Northwestern Polytechnical University, Xi’an 710072, ChinaAerospace System Engineering Shanghai, Shanghai 201109, ChinaAerospace System Engineering Shanghai, Shanghai 201109, ChinaSchool of Astronautics, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Astronautics, Northwestern Polytechnical University, Xi’an 710072, ChinaWith the rapid advancement of space technology, satellites are playing an increasingly vital role in fields such as Earth observation, communication and navigation, space exploration, and military applications. Efficiently deploying satellite missions under multi-objective, multi-constraint, and dynamic environments has become a critical challenge in the current aerospace domain. This paper integrates the concepts of game theory and proposes a distributed collaborative task model suitable for on-orbit satellite mission planning. A two-player impulsive maneuver game model is constructed using differential game theory. Based on the ideas of Nash equilibrium and distributed collaboration, multi-agent technology is applied to the distributed collaborative task planning, achieving collaborative allocation and countermeasure strategies for multi-objective and multi-satellite scenarios. Experimental results demonstrate that the method proposed in this paper exhibits good adaptability and robustness in multiple impulse scheduling, maneuver strategy iteration, and heterogeneous resource utilization, providing a feasible technical approach for mission planning and game confrontation in satellite clusters.https://www.mdpi.com/2072-4292/17/15/2640game theorydistributed collaborative taskcountermeasure strategiessatellite missions |
| spellingShingle | Huayu Gao Junqi Wang Xusheng Xu Qiufan Yuan Pei Wang Daming Zhou Research on Distributed Collaborative Task Planning and Countermeasure Strategies for Satellites Based on Game Theory Driven Approach Remote Sensing game theory distributed collaborative task countermeasure strategies satellite missions |
| title | Research on Distributed Collaborative Task Planning and Countermeasure Strategies for Satellites Based on Game Theory Driven Approach |
| title_full | Research on Distributed Collaborative Task Planning and Countermeasure Strategies for Satellites Based on Game Theory Driven Approach |
| title_fullStr | Research on Distributed Collaborative Task Planning and Countermeasure Strategies for Satellites Based on Game Theory Driven Approach |
| title_full_unstemmed | Research on Distributed Collaborative Task Planning and Countermeasure Strategies for Satellites Based on Game Theory Driven Approach |
| title_short | Research on Distributed Collaborative Task Planning and Countermeasure Strategies for Satellites Based on Game Theory Driven Approach |
| title_sort | research on distributed collaborative task planning and countermeasure strategies for satellites based on game theory driven approach |
| topic | game theory distributed collaborative task countermeasure strategies satellite missions |
| url | https://www.mdpi.com/2072-4292/17/15/2640 |
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