지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2014.4
- 수록면
- 733 - 736 (4page)
이용수
초록· 키워드
오류제보하기
This paper focus on the idea of maximizing the percent coverage and minimizing revisit time within small number of satellites constellation with limited coverage radius. A non-symmetric and circular orbit constellation using multiple Low Earth Orbit (LEO) satellites is used in this study. Instead of using a target point, an area of interest in this simulation is represented by a polygon defined with grid points. A multi objective optimization, Non-Dominated Sorting Genetic Algorithm (NSGA-II), is chosen due to its ability to find a global optimum solution for non-linear, multi objective problem. From six orbit elements, four (semi major axis, inclination, and RAAN) are chosen as optimization design variables while the rest two (eccentricity and true anomaly) are fixed. Numerical simulations were conducted using the variation in terms of the optimized variables and the NSGA-II parameter.
목차
1. Introduction
2. Problem Statement
3. Non-dominated Sorting Genetic Algorithms Optimization (NSGA-II)
4. Simulations
5. Conclusion and Future Works
References
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UCI(KEPA) : I410-ECN-0101-2016-558-000999242