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dc.contributor.advisorRoss, Isaac M.
dc.contributor.advisorRomano, Marcello
dc.contributor.advisorGiraldo, Francis X.
dc.contributor.advisorNewman, James H.
dc.contributor.advisorKarpenko, Mark
dc.contributor.authorMinelli, Giovanni
dc.date.accessioned2018-10-26T19:21:59Z
dc.date.available2018-10-26T19:21:59Z
dc.date.issued2018-09
dc.identifier.urihttp://hdl.handle.net/10945/60435
dc.description.abstractTo address the growing population of small satellite constellations that rely on distributed ground station networks, a dynamic optimization problem is formulated and solved. Specifically, this dissertation addresses the problem formulation, algorithm implementation, and experimental techniques developed to optimally slew ground-based antennas between multiple satellites that are simultaneously in view of one or more earth stations. The problem is solved using DIDO, a MATLAB optimal control solver, to produce deconflicted ground antenna slew trajectories. The deconfliction parameters include space-to-ground link budgets, mission priority, asset availability, and onboard health. Traditional methods employ heuristics to generate a subset of available targets and a separate process to check feasibility of the solution. The method described in this dissertation deterministically solves the problem in a single step. The approach is experimentally validated and tested using a small constellation of low-Earth-orbiting CubeSats operated by the Small Satellite Laboratory at the Naval Postgraduate School, using the Mobile CubeSat Command and Control (MC3) ground station network.en_US
dc.description.urihttp://archive.org/details/resourceconstrai1094560435
dc.publisherMonterey, CA; Naval Postgraduate Schoolen_US
dc.rightsCopyright is reserved by the copyright owner.en_US
dc.titleRESOURCE-CONSTRAINED AUTONOMOUS OPERATIONS OF SATELLITE CONSTELLATIONS AND GROUND STATION NETWORKSen_US
dc.typeThesisen_US
dc.contributor.departmentMechanical and Aerospace Engineering (MAE)
dc.subject.authoroptimizationen_US
dc.subject.authorCubeSaten_US
dc.subject.authormission operationsen_US
dc.subject.authorMC3en_US
dc.subject.authorGaussian targetingen_US
dc.subject.authorbenefit value functionen_US
dc.subject.authordynamic optimizationen_US
dc.subject.authorDIDOen_US
dc.description.serviceCivilian, Department of the Navyen_US
etd.thesisdegree.nameDoctor of Philosophy in Astronautical Engineeringen_US
etd.thesisdegree.levelDoctoralen_US
etd.thesisdegree.disciplineAstronautical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.identifier.thesisid22988
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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