Second-order cone programming based Mars powered descent trajectory planning with obstacle avoidance constraints

Jiateng Long, Pingyuan Cui, Shengying Zhu*, Wenbo Xiu

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Motivated by the excellent real-time performance obtaining optimal solution with the deterministic convergence properties, in recent years, the aerospace community emerges great enthusiasm on both of the research and application field of convex optimization. By transforming the objective optimization problems into proper convex forms, convex optimization has revolutionized the optimal problem solving in different backgrounds such as atmospheric entry, powered descent, rocket ascending, etc. Although the convex optimization has shown great advantages on real-time solving and convergence, the objective problem can only be solved through convex optimization after it is convexified. A lot of optimization problems in aerospace engineering, however, contains non-convex performance index, dynamics and constraints, which severely limits the application of convex optimization. To facilitate the application, techniques such as sequential convex optimization, slack variables have been introduced to deal with highly nonlinear and constrained problems. However, convex optimization based fuel-optimal trajectory planning with obstacle avoidance constraints are remain unsolved. To enhance the onboard real-time replanning capability of the fuel-optimal powered descent trajectory when unexpected hazardous Mars terrain is detected, this paper aims at solving the non-convex obstacle avoidance constraint in Mars powered descent phase through second-order cone programming (SOCP). As illustrated in the literature that geometrically convex trajectory shows excellent performance on avoiding obstacles. However, the non-convex constraint form of geometric convex trajectory is the bottleneck of this problem. To this end, the concept of pseudo-velocity vector and pseudo-acceleration (PA) vector are firstly defined, which are utilized to transform the geometric convex constraint into the angle constraint between these two vectors. Then, by introducing slack variable, this angle constraint can be transformed into a form of SOCP. For the applicability of the proposed trajectory planning method, control constraint is also considered in the objective problem. To validate the performance of the proposed SOCP based Mars powered descent trajectory planning method on obstacle avoidance, MSL mission based numerical simulation is presented. Scenarios with different initial conditions are conducted. To simulate the potential hazardous obstacles, the predesigned landing site is set to be surrounded with random scattered peaks and cliffs. Numerical simulation result illustrates the effectiveness of proposed trajectory planning on obstacle avoidance. Compared with the classical fuel-optimal powered descent trajectory without the capability of obstacle avoidance, the fuel consumption of the proposed method is higher but acceptable. The numerical result also shows the advantage of the proposed method on fuel saving compared with the Apollo-derived powered descend method.

源语言英语
主期刊名IAF Astrodynamics Symposium 2021 - Held at the 72nd International Astronautical Congress, IAC 2021
出版商International Astronautical Federation, IAF
ISBN(电子版)9781713843078
出版状态已出版 - 2021
已对外发布
活动IAF Astrodynamics Symposium 2021 at the 72nd International Astronautical Congress, IAC 2021 - Dubai, 阿拉伯联合酋长国
期限: 25 10月 202129 10月 2021

出版系列

姓名Proceedings of the International Astronautical Congress, IAC
C1
ISSN(印刷版)0074-1795

会议

会议IAF Astrodynamics Symposium 2021 at the 72nd International Astronautical Congress, IAC 2021
国家/地区阿拉伯联合酋长国
Dubai
时期25/10/2129/10/21

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