Optimal Orbit Design and Mission Scheduling for Sun-Synchronous Orbit On-Orbit Refueling System

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dc.authoridWang, Pengyu/0000-0002-4792-5997
dc.authoridGuo, Yanning/0000-0001-6150-3646
dc.authoridHAN, Peng/0000-0003-0125-4048
dc.authorwosidWang, Pengyu/ISV-4271-2023
dc.contributor.authorHan, Peng
dc.contributor.authorGuo, Yanning
dc.contributor.authorWang, Pengyu
dc.contributor.authorLi, Chuanjiang
dc.contributor.authorPedrycz, Witold
dc.date.accessioned2024-05-19T14:46:06Z
dc.date.available2024-05-19T14:46:06Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThis article proposes a two-stage optimization framework to simultaneously solve the orbit design and mission scheduling problems of on-orbit refueling (OOR) systems in Sun-synchronous orbit (SSO). The fuel can be delivered to the client satellite (CS) by small-scale service satellites from the on-orbit fuel station (FS), which leads to a new FS-servicer-CS OOR mode. For the first stage, a modified spectral clustering-nonlinear programming (NLP) method is used to assign CSs to FSs, and design the orbit of FSs under J(2) perturbation. For the second stage, the mission scheduling problem is formulated as a mixed-integer NLP model and solved via the genetic quantum algorithm. Different from the existing literature, this article introduces a clustering distance metric combining multiple orbit characteristics for CS assignment, which can indirectly reduce the estimated fuel costs in the FS orbit design. Furthermore, the objective of reducing the number of servicers is first considered in the second stage. The effectiveness and superiority of the proposed two-stage framework are verified through several numerical simulations and comparison studies.en_US
dc.description.sponsorshipNational Natural Science Foundation of China [62273118, 61973100, 61876050, 12150008]en_US
dc.description.sponsorshipThis work was supported by the National Natural Science Foundation of China under Grant 62273118, Grant 61973100, Grant 61876050, and Grant 12150008.en_US
dc.identifier.doi10.1109/TAES.2023.3247552
dc.identifier.endpage4983en_US
dc.identifier.issn0018-9251
dc.identifier.issn1557-9603
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85151538163en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage4968en_US
dc.identifier.urihttps://doi.org10.1109/TAES.2023.3247552
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5444
dc.identifier.volume59en_US
dc.identifier.wosWOS:001101791300014en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIeee Transactions on Aerospace and Electronic Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectOrbitsen_US
dc.subjectFuelsen_US
dc.subjectSatellitesen_US
dc.subjectPlanningen_US
dc.subjectCostsen_US
dc.subjectPerturbation Methodsen_US
dc.subjectOptimizationen_US
dc.subjectGenetic Quantum Algorithm (Gqa)en_US
dc.subjectMission Schedulingen_US
dc.subjectOrbit Designen_US
dc.subjectSpectral Clusteringen_US
dc.subjectSun-Synchronous Orbit (Sso)en_US
dc.titleOptimal Orbit Design and Mission Scheduling for Sun-Synchronous Orbit On-Orbit Refueling Systemen_US
dc.typeArticleen_US

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