Distributed Imaging Satellite Mission Planning Based on Multi-Agent

Yang, Yang; Liu, Desheng

doi:10.1109/access.2023.3289964

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2024

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Cited by 3 publications

References 24 publications

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Optimized leader–follower consensus control for high-order nonlinear multi-agent system modeled in canonical dynamic form

Li,

Song,

et al. 2024

Journal of the Franklin Institute

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Optimized leader–follower consensus control for high-order nonlinear multi-agent system modeled in canonical dynamic form

Li,

Song,

et al. 2024

Journal of the Franklin Institute

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Memetic Multiobjective Discrete Jaya Algorithm for Cooperative Scheduling of Multiple Agile Earth Observation Satellites

Wang,

Feng,

Zhang

et al. 2024

IEEE Trans. Aerosp. Electron. Syst.

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Multisatellite cooperative task planning method based on tabu-genetic feedback optimization

Zhao,

Xie,

Yang

et al. 2024

First Aerospace Frontiers Conference (AFC 2024)

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Given the exponential growth in satellite numbers and mission demands, the imperative to sufficiently harness satellite observation capabilities has propelled multi-satellite cooperative observation into an inevitable trajectory. Task planning of multi-satellite is a typical NP-hard problem characterized by an extensive solution scale, which is conventionally addressed using a single heuristic algorithm. However, the employment of such algorithms is con-strained by limitations like premature convergence, thereby presenting challenges in tackling this problem. To overcome this issue, this paper initially establishes a parameter optimization problem for coordinated scheduling of multi-satellites with maximizing observation profit as the performance index. Secondly, a two-layer solution architecture is proposed based on Tabu Search and Genetic Algorithm (TS-GA) feedback optimization to decompose the original problem into subproblems of mission allocation of multi-satellite and several single-satellite mission scheduling. The simulation results demonstrate that TS-GA facilitates acquiring a superior observation scheme. Owing to the implementation of a load-balanced strategy, TS-GA exhibits faster convergence and achieves a more reasonable distribution of planning results.

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Distributed Imaging Satellite Mission Planning Based on Multi-Agent

Cited by 3 publications

References 24 publications

Optimized leader–follower consensus control for high-order nonlinear multi-agent system modeled in canonical dynamic form

Optimized leader–follower consensus control for high-order nonlinear multi-agent system modeled in canonical dynamic form

Memetic Multiobjective Discrete Jaya Algorithm for Cooperative Scheduling of Multiple Agile Earth Observation Satellites

Multisatellite cooperative task planning method based on tabu-genetic feedback optimization

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