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
- 학술저널
- 저자정보
- 저널정보
- 한국우주과학회 Journal of Astronomy and Space Sciences Journal of Astronomy and Space Sciences 제29권 제1호
- 발행연도
- 2012.3
- 수록면
- 11 - 21 (11page)
이용수
초록· 키워드
오류제보하기
In this paper, the authors introduced a new approach to find the optimal collision avoidance maneuver considering multi threatening objects within short period, while satisfying constraints on the fuel limit and the acceptable collision probability. A preliminary effort in applying a genetic algorithm (GA) to those kinds of problems has also been demonstrated through a simulation study with a simple case problem and various fitness functions. And then, GA is applied to the complex case problem including multi-threatening objects. Two distinct collision avoidance maneuvers are dealt with: the first is in-track direction of collision avoidance maneuver. The second considers radial, in-track, cross-track direction maneuver. The results show that the first case violates the collision probability threshold, while the second case does not violate the threshold with satisfaction of all conditions. Various factors for analyzing and planning the optimal collision avoidance maneuver are also presented.
목차
등록된 정보가 없습니다.
참고문헌 (11)
참고문헌 신청
Alfano S / 2005 / Collision avoidance maneuver planning tool / Proceedings of the 15th AAS/AIAA Astrodynamics Specialist Conference
Alfano S / 2007 / Review of conjunction probability methods for short-term encounters / Proceedings of the AAS/AIAA Space Flight Mechanics Meeting
Deb K / 1999 / A niched-penalty approach for constraint handling in genetic algorithms, in Artificial neural nets and genetic algorithms: Proceedings of the International Conference in Portoroz / Slovenia :235~243
Goldberg DE / 1989 / Genetic algorithms in search, optimization, and machine learning / Addison-Wesley
Helio JCB / An adaptive penalty method for genetic algorithms in constrained optimization problems, in Frontiers in evolutionary robotics
Alfano S / 2007 / Review of conjunction probability methods for short-term encounters / Proceedings of the AAS/AIAA Space Flight Mechanics Meeting
Deb K / 1999 / A niched-penalty approach for constraint handling in genetic algorithms, in Artificial neural nets and genetic algorithms: Proceedings of the International Conference in Portoroz / Slovenia :235~243
Goldberg DE / 1989 / Genetic algorithms in search, optimization, and machine learning / Addison-Wesley
Helio JCB / An adaptive penalty method for genetic algorithms in constrained optimization problems, in Frontiers in evolutionary robotics
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