Jaewon Kim |
M.S. candidate, Seoul National University, Department of Aerospace Engineering, 08826, Seoul, Republic of Korea. | Sangmin Lee |
Ph.D. candidate, Seoul National University, Department of Aerospace Engineering, 08826, Seoul, Republic of Korea. | Youdan Kim |
Professor, Seoul National University, Department of Aerospace Engineering, 08826, Seoul, Republic of Korea. | Chandeok Park |
Associate Professor, Yonsei University, Department of Astronomy, 03722, Seoul, Republic of Korea. |
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Abstract:
As new space missions requiring rapid response and the ability to achieve multiple objectives within a single mission are taking attention, the need for reusable spacecraft capable of handling diverse tasks is increasing. In this study, the trajectory generation problem for de-orbit missions with multiple re-entry targets is considered using convex optimization methods, focusing on the application of Reusable Unmanned Space Vehicles(ReUSVs). The nonlinear de-orbit trajectory generation problem is formulated from the initial mission orbit to the final re-entry target with specific re-entry constraints. Then, the formulated problem is convexified, and the sequential convex programming method is used to solve the multiple de-orbit trajectory optimization problem. Numerical simulation shows that the proposed methods can generate multiple de-orbit trajectories efficiently, which demonstrates the effectiveness of convex optimization for generating trajectories even in the presence of uncertainties.
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