A Graph Transformation Method for Robotic Satellite Servicing Down-Selection

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dc.contributor.advisorAustin, Marken_US
dc.contributor.authorKnizhnik, Jessicaen_US
dc.contributor.departmentSystems Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2018-01-25T06:34:54Z
dc.date.available2018-01-25T06:34:54Z
dc.date.issued2017en_US
dc.description.abstractAs remote robotic space satellite servicing technologies develop, each servicer satellite will need to account for a number of servicing scenarios and consider a variety of alternate design solutions to best meet the most servicing scenario requirements. This thesis presents a graph transformation method for systematically down-selecting the number of design options available, and highlighting trade-offs in sets of design solutions which best meet satellite servicing task requirements while also reducing total mass, maximum power needed and servicing time. The proposed method successfully identifies for further consideration several best design solutions from a set of approximately 10,000 potential solutions in the first test case examined, and from a set of approximately 2*1026 in the second test case examined.en_US
dc.identifierhttps://doi.org/10.13016/M2J38KK1T
dc.identifier.urihttp://hdl.handle.net/1903/20436
dc.language.isoenen_US
dc.subject.pqcontrolledSystems scienceen_US
dc.subject.pqcontrolledAerospace engineeringen_US
dc.subject.pquncontrolledDown Selectionen_US
dc.subject.pquncontrolledSatellite Servicingen_US
dc.subject.pquncontrolledSystems Engineeringen_US
dc.subject.pquncontrolledTrade Studyen_US
dc.titleA Graph Transformation Method for Robotic Satellite Servicing Down-Selectionen_US
dc.typeThesisen_US

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