Title:
Design and Operations of Satellite Constellations for Complex Regional Coverage

dc.contributor.advisor Ho, Koki
dc.contributor.author Lee, Hang Woon
dc.contributor.committeeMember Gunter, Brian C.
dc.contributor.committeeMember Lightsey, Edgar G.
dc.contributor.committeeMember Kim, Harrison H. M.
dc.contributor.committeeMember Yoshikawa, Shoji
dc.contributor.department Aerospace Engineering
dc.date.accessioned 2022-08-25T13:40:15Z
dc.date.available 2022-08-25T13:40:15Z
dc.date.created 2022-08
dc.date.issued 2022-08-01
dc.date.submitted August 2022
dc.date.updated 2022-08-25T13:40:15Z
dc.description.abstract Fueled by recent technological advancements in small and capable satellites, satellite constellations are now shaping the new era of space commercialization creating new forms of services that span from Earth observations to telecommunications and navigation. With the mission objectives becoming increasingly complex, a new paradigm in the design and operations of satellite constellations is necessary to make a system cheaper and more efficient. This dissertation presents a set of novel mathematical formulations and solution methods that lend themselves to various applications in the design and operations of satellite constellation systems. The second chapter establishes the Access-Pattern-Coverage (APC) decomposition model that relaxes the symmetry and homogeneity assumptions of the classical global-coverage constellation design methods. Based on the model, this dissertation formulates an integer linear programming (ILP) problem that designs an optimal constellation pattern for complex spatiotemporally-varying coverage requirements. The third chapter examines the problem of reconfiguring satellite constellations for efficient adaptive mission planning and presents a novel ILP formulation that combines constellation design and transfer problems that are otherwise considered independent and serial in the state-of-the-art. Furthermore, the third chapter proposes a Lagrangian relaxation-based heuristic method that exploits the assignment problem structure embedded in the integrated design-transfer model. The fourth chapter extends the third chapter by investigating the multi-stage satellite constellation reconfiguration problem and develops two heuristic sequential decision-making methods based on the concepts of myopic policy and the rolling horizon procedure. This dissertation presents several illustrative examples as proofs-of-concept to demonstrate the value of the proposed work.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/67324
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Satellite constellation design
dc.subject Satellite constellation reconfiguration
dc.title Design and Operations of Satellite Constellations for Complex Regional Coverage
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Ho, Koki
local.contributor.corporatename College of Engineering
local.contributor.corporatename Daniel Guggenheim School of Aerospace Engineering
local.relation.ispartofseries Doctor of Philosophy with a Major in Aerospace Engineering
relation.isAdvisorOfPublication 399ff8cd-3094-43c0-bc84-9071801e7ebf
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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relation.isSeriesOfPublication f6a932db-1cde-43b5-bcab-bf573da55ed6
thesis.degree.level Doctoral
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