A Double Auction Mechanism for Task Scheduling of An EOS Constellation

Article Engineering, Aerospace

Multitree Search for Multisatellite Responsiveness Scheduling Considering Orbital Maneuvering

Zhong Zhang et al.

Summary: This article describes a method for multisatellite responsiveness scheduling, using orbital maneuvering to observe multiple ground targets, improving disaster risk evaluation and relief effectiveness, and achieving better performance than the previous best method in a typical scenario.

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS (2022)

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Article Engineering, Aerospace

Scheduling and Planning Framework for Time Delay Integration Imaging by Agile Satellite

Wei Qiu et al.

Summary: This article proposes a novel framework to solve the coupling scheduling and planning problems of TDI imaging missions. By utilizing geometric approximations, dynamic estimations, and neural network fitting, the framework can generate optimized imaging profiles efficiently.

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS (2022)

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Article Engineering, Aerospace

Game theoretic self-organization in multi-satellite distributed task allocation

Changhao Sun et al.

Summary: This paper introduces a distributed task allocation algorithm via learning in games for multi-satellite systems, which converges to near optimal assignments with probability 1 in finite time and demonstrates robustness against incidental disturbances. Numerical experiments show the positive effect of memory length on solution efficiency refinement, while comparison experiments highlight the superiority of the presented methodology over existing methods.

AEROSPACE SCIENCE AND TECHNOLOGY (2021)

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Article Computer Science, Information Systems

Agile Earth Observation Satellite Scheduling Over 20 Years: Formulations, Methods, and Future Directions

Xinwei Wang et al.

Summary: Agile satellites with advanced attitude maneuvering capability are the new generation of earth observation satellites, benefiting from the continuous improvement in satellite technology and decrease in launch cost. The agile EOS scheduling problem has been a topic of great interest over the past 20 years, aiming to maximize observation profit while satisfying operational constraints. This article provides a summary of current research on AEOSSP, identifying main accomplishments and highlighting potential future research directions.

IEEE SYSTEMS JOURNAL (2021)

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Article Operations Research & Management Science

Scheduling of a Constellation of Satellites: Creating a Mixed-Integer Linear Model

Philippe Monmousseau

Summary: The paper introduces a new scheduling model for a large constellation of imaging satellites, aiming to improve upon an existing model that uses simulated annealing. The main challenges were in accurately modeling battery levels and handling infeasible configurations due to inaccurate parameters. The developed linear model not only enhanced understanding of the simulated annealing solver's performance, but also has potential for adaptation to various real-world scheduling problems.

JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS (2021)

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Article Engineering, Aerospace