Optimization of Reconfigurable Satellite Constellations Using Simulated Annealing and Genetic Algorithm
Agile Earth observation can be achieved with responsiveness in satellite launches, sensor pointing, or orbit reconfiguration. This study presents a framework for designing reconfigurable satellite constellations capable of both regular Earth observation and disaster monitoring. These observation mod...
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| Format: | Article |
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Multidisciplinary Digital Publishing Institute
2019
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| Online Access: | http://hdl.handle.net/1721.1/120855 https://orcid.org/0000-0001-6677-383X |
| _version_ | 1826191006896226304 |
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| author | Paek, Sung Wook Kim, Sangtae De Weck, Olivier L |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Paek, Sung Wook Kim, Sangtae De Weck, Olivier L |
| author_sort | Paek, Sung Wook |
| collection | MIT |
| description | Agile Earth observation can be achieved with responsiveness in satellite launches, sensor pointing, or orbit reconfiguration. This study presents a framework for designing reconfigurable satellite constellations capable of both regular Earth observation and disaster monitoring. These observation modes are termed global observation mode and regional observation mode, constituting a reconfigurable satellite constellation (ReCon). Systems engineering approaches are employed to formulate this multidisciplinary problem of co-optimizing satellite design and orbits. Two heuristic methods, simulated annealing (SA) and genetic algorithm (GA), are widely used for discrete combinatorial problems and therefore used in this study to benchmark against a gradient-based method. Point-based SA performed similar or slightly better than the gradient-based method, whereas population-based GA outperformed the other two. The resultant ReCon satellite design is physically feasible and offers performance-to-cost(mass) superior to static constellations. Ongoing research on observation scheduling and constellation management will extend the ReCon applications to radar imaging and radio occultation beyond visible wavelengths and nearby spectrums. Keywords: Earth observation; remote sensing; satellite constellation; reconfigurability; repeat ground tracks; simulated annealing; genetic algorithm |
| first_indexed | 2024-09-23T08:48:39Z |
| format | Article |
| id | mit-1721.1/120855 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T08:48:39Z |
| publishDate | 2019 |
| publisher | Multidisciplinary Digital Publishing Institute |
| record_format | dspace |
| spelling | mit-1721.1/1208552022-09-30T11:26:44Z Optimization of Reconfigurable Satellite Constellations Using Simulated Annealing and Genetic Algorithm Paek, Sung Wook Kim, Sangtae De Weck, Olivier L Massachusetts Institute of Technology. Department of Aeronautics and Astronautics De Weck, Olivier L Agile Earth observation can be achieved with responsiveness in satellite launches, sensor pointing, or orbit reconfiguration. This study presents a framework for designing reconfigurable satellite constellations capable of both regular Earth observation and disaster monitoring. These observation modes are termed global observation mode and regional observation mode, constituting a reconfigurable satellite constellation (ReCon). Systems engineering approaches are employed to formulate this multidisciplinary problem of co-optimizing satellite design and orbits. Two heuristic methods, simulated annealing (SA) and genetic algorithm (GA), are widely used for discrete combinatorial problems and therefore used in this study to benchmark against a gradient-based method. Point-based SA performed similar or slightly better than the gradient-based method, whereas population-based GA outperformed the other two. The resultant ReCon satellite design is physically feasible and offers performance-to-cost(mass) superior to static constellations. Ongoing research on observation scheduling and constellation management will extend the ReCon applications to radar imaging and radio occultation beyond visible wavelengths and nearby spectrums. Keywords: Earth observation; remote sensing; satellite constellation; reconfigurability; repeat ground tracks; simulated annealing; genetic algorithm 2019-03-11T15:27:52Z 2019-03-11T15:27:52Z 2019-02 2019-02 2019-02-15T07:53:50Z Article http://purl.org/eprint/type/JournalArticle 1424-8220 http://hdl.handle.net/1721.1/120855 Paek, Sung et al. "Optimization of Reconfigurable Satellite Constellations Using Simulated Annealing and Genetic Algorithm." Sensors 19, 4 (February 2019): 765 © 2019 The Authors https://orcid.org/0000-0001-6677-383X http://dx.doi.org/10.3390/s19040765 Sensors Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ application/pdf Multidisciplinary Digital Publishing Institute Multidisciplinary Digital Publishing Institute |
| spellingShingle | Paek, Sung Wook Kim, Sangtae De Weck, Olivier L Optimization of Reconfigurable Satellite Constellations Using Simulated Annealing and Genetic Algorithm |
| title | Optimization of Reconfigurable Satellite Constellations Using Simulated Annealing and Genetic Algorithm |
| title_full | Optimization of Reconfigurable Satellite Constellations Using Simulated Annealing and Genetic Algorithm |
| title_fullStr | Optimization of Reconfigurable Satellite Constellations Using Simulated Annealing and Genetic Algorithm |
| title_full_unstemmed | Optimization of Reconfigurable Satellite Constellations Using Simulated Annealing and Genetic Algorithm |
| title_short | Optimization of Reconfigurable Satellite Constellations Using Simulated Annealing and Genetic Algorithm |
| title_sort | optimization of reconfigurable satellite constellations using simulated annealing and genetic algorithm |
| url | http://hdl.handle.net/1721.1/120855 https://orcid.org/0000-0001-6677-383X |
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