A Convex Planning Method for Rocket Vertical Landing Trajectory Considering Iterative Compensation of Nonlinear Terms

Dong Guo, Hong Zhao, Yulong Li, Jianyou Huang

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, an online trajectory planning method considering iterative compensation of nonlinear terms is proposed for the vertical landing phase mission of reusable rockets. First, the rocket dynamics equation is established in the vertical landing mission context, and the multi-constrained trajectory planning problem model is given. On this basis, the landing trajectory planning problem is convexification and discretized. For the problem of strong nonlinearity, an iterative compensation solution strategy is designed. The iterative solution sequence of the nonlinear term is weighted with the linear speculation sequence as compensation, solving the planning difficulties caused by nonlinearity. Finally, the proposed trajectory planning method is simulated, and the results show that the method can quickly plan the vertical landing trajectory with strong aerodynamic nonlinear disturbance, and has good robustness to initial disturbance, aerodynamic deviation, and atmospheric density deviation.

源语言英语
主期刊名2023 42nd Chinese Control Conference, CCC 2023
出版商IEEE Computer Society
3906-3911
页数6
ISBN(电子版)9789887581543
DOI
出版状态已出版 - 2023
已对外发布
活动42nd Chinese Control Conference, CCC 2023 - Tianjin, 中国
期限: 24 7月 202326 7月 2023

出版系列

姓名Chinese Control Conference, CCC
2023-July
ISSN(印刷版)1934-1768
ISSN(电子版)2161-2927

会议

会议42nd Chinese Control Conference, CCC 2023
国家/地区中国
Tianjin
时期24/07/2326/07/23

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