Optimization of Space Station’s Operational Scenario Parameters Using Physical Programming

Lin, Kun-Peng; Luo, Yuling; Tang, Guojian

doi:10.2514/1.a33003

Cited by 1 publication

(1 citation statement)

References 10 publications

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“…A physical programming method is an efficient way to deal with multiobjective problems, of which the main idea is to convert the problem into a single-objective problem by using preference functions that capture the designer's preferences [24,25]. Tradeoffs between all design metrics are considered during problem formulation, and Pareto design which is in the preferred region of the Pareto surface is generated.…”

Section: Physical Programming Methodsmentioning

confidence: 99%

Reconfigurable Satellite Constellation Design for Disaster Monitoring Using Physical Programming

Yang

et al. 2020

International Journal of Aerospace Engineering

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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.

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Section: Physical Programming Methodsmentioning

confidence: 99%

Reconfigurable Satellite Constellation Design for Disaster Monitoring Using Physical Programming

Yang

et al. 2020

International Journal of Aerospace Engineering

View full text Add to dashboard Cite

show abstract

Optimization of Space Station’s Operational Scenario Parameters Using Physical Programming

Cited by 1 publication

References 10 publications

Reconfigurable Satellite Constellation Design for Disaster Monitoring Using Physical Programming

Reconfigurable Satellite Constellation Design for Disaster Monitoring Using Physical Programming

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