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Reconfigurable Satellite Constellation Design for Disaster Monitoring Using Physical Programming
- Source :
- International Journal of Aerospace Engineering, Vol 2020 (2020)
- Publication Year :
- 2020
- Publisher :
- Hindawi Limited, 2020.
-
Abstract
- Data collection by satellites during and after a natural disaster is of great significance. In this work, a reconfigurable satellite constellation is designed for disaster monitoring, and satellites in the constellation are made to fly directly overhead of the disaster site through orbital transfer. By analyzing the space geometry relations between satellite orbit and an arbitrary disaster site, a mathematical model for orbital transfer and overhead monitoring is established. Due to the unpredictability of disasters, target sites evenly spaced on the Earth are considered as all possible disaster scenarios, and the optimal reconfigurable constellation is designed with the intention to minimize total velocity increment, maximum and mean reconfiguration time, and standard deviation of reconfiguration times for all target sites. To deal with this multiobjective optimization, a physical programming method together with a genetic algorithm is employed. Numerical results are obtained through the optimization, and different observation modes of the reconfigurable constellation are analyzed by a specific case. Superiority of our design is demonstrated by comparing with the existing literature, and excellent observation performance of the reconfigurable constellation is demonstrated.
- Subjects :
- Data collection
Article Subject
010504 meteorology & atmospheric sciences
Computer science
Real-time computing
Satellite constellation
Aerospace Engineering
Control reconfiguration
TL1-4050
01 natural sciences
Multi-objective optimization
0103 physical sciences
Genetic algorithm
Overhead (computing)
Orbital maneuver
010303 astronomy & astrophysics
Motor vehicles. Aeronautics. Astronautics
0105 earth and related environmental sciences
Constellation
Subjects
Details
- ISSN :
- 16875974 and 16875966
- Volume :
- 2020
- Database :
- OpenAIRE
- Journal :
- International Journal of Aerospace Engineering
- Accession number :
- edsair.doi.dedup.....0f2c24446ed71b428bdf8c4e5c80ca92