Orbital debris selection by means of genetic algorithm optimization
Authors
Devine, Angeliek
ORCID
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Other Contributors
Anderson, Kurt S.
Christian, John
Hicken, Jason
Christian, John
Hicken, Jason
Issue Date
2021-05
Keywords
Aeronautical engineering
Degree
MS
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
This 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.
Description
May 2021
School of Engineering
School of Engineering
Department
Dept. of Mechanical, Aerospace, and Nuclear Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
Restricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.