Satellite Constellation Orbit Design Optimization with Combined Genetic Algorithm and Semianalytical Approach
Joint Authors
Savitri, Tania
Kim, Youngjoo
Jo, Sujang
Bang, Hyochoong
Source
International Journal of Aerospace Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-31
Country of Publication
Egypt
No. of Pages
17
Abstract EN
This paper focuses on maximizing the percent coverage and minimizing the revisit time for a small satellite constellation with limited coverage.
A target area represented by a polygon defined by grid points is chosen instead of using a target point only.
The constellation consists of nonsymmetric and circular Low Earth Orbit (LEO) satellites.
A global optimization method, Genetic Algorithm (GA), is chosen due to its ability to locate a global optimum solution for nonlinear multiobjective problems.
From six orbital elements, five elements (semimajor axis, inclination, argument of perigee, longitude of ascending node, and mean anomaly) are varied as optimization design variables.
A multiobjective optimization study is conducted in this study with percent coverage and revisit time as the two main parameters to analyze the performance of the constellation.
Some efforts are made to improve the objective function and to minimize the computational load.
A semianalytical approach is implemented to speed up the guessing of initial orbital elements.
To determine the best parametric operator combinations, the fitness value and the computational time from each study cases are compared.
American Psychological Association (APA)
Savitri, Tania& Kim, Youngjoo& Jo, Sujang& Bang, Hyochoong. 2017. Satellite Constellation Orbit Design Optimization with Combined Genetic Algorithm and Semianalytical Approach. International Journal of Aerospace Engineering،Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1157757
Modern Language Association (MLA)
Savitri, Tania…[et al.]. Satellite Constellation Orbit Design Optimization with Combined Genetic Algorithm and Semianalytical Approach. International Journal of Aerospace Engineering No. 2017 (2017), pp.1-17.
https://search.emarefa.net/detail/BIM-1157757
American Medical Association (AMA)
Savitri, Tania& Kim, Youngjoo& Jo, Sujang& Bang, Hyochoong. Satellite Constellation Orbit Design Optimization with Combined Genetic Algorithm and Semianalytical Approach. International Journal of Aerospace Engineering. 2017. Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1157757
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1157757