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Time Dependent Fuel Optimal Satellite Formation Reconfiguration Using Quantum Particle Swarm Optimization

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Artificial Intelligence and Soft Computing (ICAISC 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12855))

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Abstract

Evolutionary optimization methods have proven efficient in optimal transfer and orbit determination. This paper investigates the suitability of a Quantum Particle Swarm Optimization (QPSO) scheme for finding optimal transfer trajectories required for a fuel-efficient formation reconfiguration. It achieves this by comparing the search results for optimal transfer trajectories using QPSO, with traditional PSO. Given an initially clustered formation, a configuration, based on satellite coverage requirements, is set as the final configuration which the cluster aims to achieve, with minimal fuel consumption. Results show that QPSO had a better performance compared to traditional PSO, yielding faster convergence, higher accuracy, as well as better reliability to evade local minima by exploring a wider search spread.

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Author information

Authors and Affiliations

  1. National Space Research and Development Agency, Obasanjo Space Center, Lugbe Abuja, 900107, Nigeria

    K. Soyinka Olukunle

  2. Center for Satellite Technology Development, Obasanjo Space Center, Lugbe Abuja, 900107, Nigeria

    Nzekwu Nwanze & E. C. A. Akoma Henry

Authors
  1. K. Soyinka Olukunle
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  2. Nzekwu Nwanze
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  3. E. C. A. Akoma Henry
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Corresponding author

Correspondence to K. Soyinka Olukunle .

Editor information

Editors and Affiliations

  1. Czestochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  3. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  4. Edmonton, AB, Canada

    Witold Pedrycz

  5. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  6. Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA

    Jacek M. Zurada

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Soyinka Olukunle, K., Nwanze, N., Akoma Henry, E.C.A. (2021). Time Dependent Fuel Optimal Satellite Formation Reconfiguration Using Quantum Particle Swarm Optimization. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2021. Lecture Notes in Computer Science(), vol 12855. Springer, Cham. https://doi.org/10.1007/978-3-030-87897-9_34

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  • DOI: https://doi.org/10.1007/978-3-030-87897-9_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87896-2

  • Online ISBN: 978-3-030-87897-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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