Genetic algorithm-based scheduling for ground support of multiple satellites and antennae considering operation modes

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Given the unpredictability of the space environment, satellite communications are manually performed by exchanging tele-commands and telemetry. Ground support for orbiting satellites is given only during limited periods of ground antenna visibility, which can result in conflicts when multiple satellites are present. This problem can be regarded as a scheduling problem of allocating antenna support (task) to limited visibility (resource). To mitigate unforeseen errors and costs associated with manual scheduling and mission planning, we propose a novel method based on a genetic algorithm to solve the ground support problem of multiple satellites and antennae with visibility conflicts. Numerous scheduling parameters, including user priority, emergency, profit, contact interval, support time, remaining resource, are considered to provide maximum benefit to users and real applications. The modeling and formulae are developed in accordance with the characteristics of satellite communication. To validate the proposed algorithm, 20 satellites and 3 ground antennae in the Korean peninsula are assumed and modeled using the satellite tool kit (STK). The proposed algorithm is applied to two operation modes: (i) telemetry, tracking, and command and (ii) payload. The results of the present study show near-optimal scheduling in both operation modes and demonstrate the applicability of the proposed algorithm to actual mission control systems
Publisher
The Korean Society for Aeronautical & Space Sciences
Issue Date
2016-03
Language
English
Article Type
Article
Keywords

MISSIONS

Citation

INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES, v.17, no.1, pp.89 - 100

ISSN
2093-274X
DOI
10.5139/IJASS.2016.17.1.89
URI
http://hdl.handle.net/10203/208758
Appears in Collection
ME-Journal Papers(저널논문)
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