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Instance and Data Generation for the Offline Nanosatellite Task Scheduling Problem

Author

Listed:
  • Cezar Antônio Rigo

    (Department of Electrical Engineering, Federal University of Santa Catarina (UFSC), Florianópolis 88040-900, Brazil)

  • Edemar Morsch Filho

    (Department of Aeronautical Engineering, São Paulo State University (UNESP), São João da Boa Vista 13876-750, Brazil)

  • Laio Oriel Seman

    (Graduate Program in Applied Computer Science, University of Vale do Itajaí (UNIVALI), Itajaí 88302-901, Brazil
    Industrial and Systems Engineering Graduate Program, Pontifical Catholic University of Parana, Curitiba 80215-901, Brazil)

  • Luís Loures

    (VALORIZA—Research Center for Endogenous Resources Valorization, Instituto Politécnico de Portalegre, 7300-555 Portalegre, Portugal)

  • Valderi Reis Quietinho Leithardt

    (VALORIZA—Research Center for Endogenous Resources Valorization, Instituto Politécnico de Portalegre, 7300-555 Portalegre, Portugal)

Abstract

This paper discusses several cases of the Offline Nanosatellite Task Scheduling (ONTS) optimization problem, which seeks to schedule the start and finish timings of payloads on a nanosatellite. Modeled after the FloripaSat-I mission, a nanosatellite, the examples were built expressly to test the performance of various solutions to the ONTS problem. Realistic input data for power harvesting calculations were used to generate the instances, and an instance creation procedure was employed to increase the instances’ difficulty. The instances are made accessible to the public to facilitate a fair comparison of various solutions and to aid in establishing a baseline for the ONTS problem. Additionally, the study discusses the various orbit types and their effects on energy harvesting and mission performance.

Suggested Citation

  • Cezar Antônio Rigo & Edemar Morsch Filho & Laio Oriel Seman & Luís Loures & Valderi Reis Quietinho Leithardt, 2023. "Instance and Data Generation for the Offline Nanosatellite Task Scheduling Problem," Data, MDPI, vol. 8(3), pages 1-14, March.
    • Handle: RePEc:gam:jdataj:v:8:y:2023:i:3:p:62-:d:1103270
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    References listed on IDEAS

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    1. Li, Jianwei & Gee, Anthony M. & Zhang, Min & Yuan, Weijia, 2015. "Analysis of battery lifetime extension in a SMES-battery hybrid energy storage system using a novel battery lifetime model," Energy, Elsevier, vol. 86(C), pages 175-185.
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