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dc.rights.licenseRestricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.
dc.contributorAnderson, Kurt S.
dc.contributorChristian, John
dc.contributorHicken, Jason
dc.contributor.authorDevine, Angeliek
dc.date.accessioned2021-11-03T09:26:02Z
dc.date.available2021-11-03T09:26:02Z
dc.date.created2021-07-09T09:57:55Z
dc.date.issued2021-05
dc.identifier.urihttps://hdl.handle.net/20.500.13015/2713
dc.descriptionMay 2021
dc.descriptionSchool of Engineering
dc.description.abstractThis thesis details development methodologies and code implementation for Obsolete Spacecraft Capture and Removal (OSCaR) cube satellite target selection algorithm. The algorithm selects a set of objects ideal for OSCaR to capture and deorbit. This thesis describes the formation of the algorithm itself and its related functions: population member fitness evaluation, nonlinear constraint function, and initial data set generation. The optimization method, MATLAB's genetic algorithm, maximizes the fitness function and returns a specified number of objects in the order OSCaR captures the set. The algorithm also returns the remaining propellant budget and other data that may be interesting to the user. The algorithm consistently converges to the best fitness value for up to three targeted objects.
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectAeronautical engineering
dc.titleOrbital debris selection by means of genetic algorithm optimization
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid180636
dc.digitool.pid180637
dc.digitool.pid180638
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreeMS
dc.relation.departmentDept. of Mechanical, Aerospace, and Nuclear Engineering


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