Planning for space station long-duration orbital mission under multi-constraints  

作　　者：LIN KunPeng LUO YaZhong ZHANG Jin TANG GuoJin 

机构地区：[1]College of Aerospace Science and Engineering,National University of Defense Technology

出　　处：《Science China(Technological Sciences)》2013年第5期1075-1085,共11页中国科学（技术科学英文版）

基　　金：supported by the National Natural Science Foundation of China(Grant No.11222215);the Foundation for the Author of National Excellent Doctoral Dissertation of China(Grant No.201171)

摘　　要：An integrated nonlinear planning(NLP) model is built for space station long-duration orbital missions considering both the vehicle visiting schedules and the interaction effects between target phasing,vehicle return adjusting and Earth observation aiming.A two-level optimization approach is proposed to solve this complicated problem.The up-level problem employs the launch times of visiting vehicles as design variables,considers the constraints of crew rotations,resource resupplies and rendezvous launch windows,and is solved by a genetic algorithm.The low-level problems employ the maneuver impulses and burn times within each orbital mission as design variables,and a high-efficient shooting iteration method is proposed based on an analytical equation for the phase angle correction considering the J 2 perturbation.The results indicate that the integrated NLP model for space station long-duration orbital missions is effective,and the proposed optimization approach can obtain the optimal solutions that satisfy the multiple constraints and reduce the total propellant consumption.

关 键 词：space station orbital mission target phasing vehicle return Earth observation J2 perturbation 

分 类 号：V412.41[航空宇航科学与技术—航空宇航推进理论与工程]