Paek, Sung Wook Kim, Sangtae de Weck, Olivier 2024-01-19T21:00:35Z 2024-01-19T21:00:35Z 2022-01-25 2019-02 1424-8220 https://pubs.kist.re.kr/handle/201004/120384 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. English MDPI Optimization of Reconfigurable Satellite Constellations Using Simulated Annealing and Genetic Algorithm Article 10.3390/s19040765 1 SENSORS, v.19, no.4 SENSORS 19 4 N scie scopus 000460829200016 2-s2.0-85061849162 Chemistry, Analytical Engineering, Electrical & Electronic Instruments & Instrumentation Chemistry Engineering Instruments & Instrumentation Article DESIGN Earth observation remote sensing satellite constellation reconfigurability repeat ground tracks simulated annealing genetic algorithm