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
- 저널정보
- 한국항공우주학회 한국항공우주학회 학술발표회 초록집 Proceedings of KSAS-JSASS Joint International Symposium on Aerospace Engineering
- 발행연도
- 2008.11
- 수록면
- 471 - 476 (6page)
이용수
초록· 키워드
오류제보하기
A spacecraft which travels from the Earth to Mars is optimized using a Genetic Algorithm. This study considers a spacecraft with electric propulsion that explores into deep space. The vehicle design parameters are the distribution of vehicle mass and the distribution of electric power consumption. The mission plan is to fly from the earth to Mars and to carry out fly -by in Mars. The objective functions are total mass and flight time; thus this problem is a multiobjective optimization problem. Trade-on' curves are obtained from pareto sets. The plural purpose functions have a relation of the trade-off in many cases. The designer gets possible to grasp a trade-off between the purpose functions by watching the distribution of the pareto set of solutions. This research that the thrust direction is controlled. Moreover, suppose that coasting is performed by considering on-off of a thrust. The results when thrust is controlled and not controlled are compared.
목차
Abstract
1. INTRODUCTION
2. VEHICLE COMPOSITION MODEL
3. MISSION PLAN
4. DESIGN VARIABLES
5. MOTION EQUATION OF VEHICLE
6. OBJECTIVE FUNCTION
7. CONSTRAINT CONDITIONS
8. OPTIMIZATION METHOD
9. OPTIMIZATION RESULT
10. CONCLUSION
REFERENCES
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