TY - JOUR
T1 - Research on hybrid design method of gravity-assist trajectories for interplanetary missions
AU - Qiao, Dong
AU - Cui, Ping Yuan
AU - Xu, Rui
PY - 2010/3
Y1 - 2010/3
N2 - Taking the exploring Mars via Venus gravity-assist as the background, a hybrid design method of gravity-assist trajectories for interplanetary missions is proposed to the problems of conventional design method of gravity-assist trajectory. First, based on analysis of characteristics of gravity-assist celestial bodies, we provide the possible parameter matching regions for gravity-assist trajectory by using the contour map of hyperbolic excess velocity. Then, while patching the segments of gravity-assist trajectories, we present the "Soft matching" strategy instead of the classical matching strategy. Finally, the hybrid optimal algorithm is used to optimize the design parameters of gravity-assist trajectories. This method could resolve effectively the problem that conventional method omits gravity-assist opportunities satisfied with constraints. Taking the exploring Mars via Venus gravity-assist in 2017-2018 years as an example, we not only provide the design results that agree with that of Okutsu, but also find a new trajectory profile in the same parameter region. In addition, we also analyze the transfer opportunities for exploring Mars with Venus gravity-assist in the period of 2010-2018, and provide the better design parameter regions. These researches will present the significant reference for the future Mars mission.
AB - Taking the exploring Mars via Venus gravity-assist as the background, a hybrid design method of gravity-assist trajectories for interplanetary missions is proposed to the problems of conventional design method of gravity-assist trajectory. First, based on analysis of characteristics of gravity-assist celestial bodies, we provide the possible parameter matching regions for gravity-assist trajectory by using the contour map of hyperbolic excess velocity. Then, while patching the segments of gravity-assist trajectories, we present the "Soft matching" strategy instead of the classical matching strategy. Finally, the hybrid optimal algorithm is used to optimize the design parameters of gravity-assist trajectories. This method could resolve effectively the problem that conventional method omits gravity-assist opportunities satisfied with constraints. Taking the exploring Mars via Venus gravity-assist in 2017-2018 years as an example, we not only provide the design results that agree with that of Okutsu, but also find a new trajectory profile in the same parameter region. In addition, we also analyze the transfer opportunities for exploring Mars with Venus gravity-assist in the period of 2010-2018, and provide the better design parameter regions. These researches will present the significant reference for the future Mars mission.
KW - Exploring Mars
KW - Gravity assist
KW - Hybrid design method
KW - Venus gravity-assist
UR - http://www.scopus.com/inward/record.url?scp=77951997688&partnerID=8YFLogxK
U2 - 10.3873/j.issn.1000-1328.2010.03.005
DO - 10.3873/j.issn.1000-1328.2010.03.005
M3 - Article
AN - SCOPUS:77951997688
SN - 1000-1328
VL - 31
SP - 655
EP - 661
JO - Yuhang Xuebao/Journal of Astronautics
JF - Yuhang Xuebao/Journal of Astronautics
IS - 3
ER -