دورية أكاديمية
Rocket landing guidance based on second-order Picard-Chebyshev-Newton type algorithm
العنوان: | Rocket landing guidance based on second-order Picard-Chebyshev-Newton type algorithm |
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المؤلفون: | TANG Jingyuan, GOU Yongjie, MA Yangyang, PAN Binfeng |
المصدر: | Xibei Gongye Daxue Xuebao, Vol 42, Iss 1, Pp 98-107 (2024) |
بيانات النشر: | EDP Sciences, 2024. |
سنة النشر: | 2024 |
المجموعة: | LCC:Motor vehicles. Aeronautics. Astronautics |
مصطلحات موضوعية: | 火箭垂直着陆, 皮卡迭代, 高斯-牛顿法, Motor vehicles. Aeronautics. Astronautics, TL1-4050 |
الوصف: | This paper proposes a rocket substage vertical landing guidance method based on the second-order Picard-Chebyshev-Newton type algorithm. Firstly, the continuous-time dynamic equation is discretized based on the natural second-order Picard iteration formulation and the Chebyshev polynomial. Secondly, the landing problem that considers terminal constraints is transformed into a nonlinear least-squares problem with respect to the terminal constraint function and solved with the Gauss-Newton method. In addition, the projection method is introduced to the iteration process of the Gauss-Newton method to realize the inequality constraints of the thrust. Finally, the closed-loop strategy for rocket substage vertical landing guidance is proposed and the numerical simulations of the rocket vertical landing stage are carried out. The simulation results demonstrate that compared with the sequential convex optimization algorithm, the proposed algorithm has higher computational efficiency. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | Chinese |
تدمد: | 1000-2758 2609-7125 |
Relation: | https://www.jnwpu.org/articles/jnwpu/full_html/2024/01/jnwpu2024421p98/jnwpu2024421p98.html; https://doaj.org/toc/1000-2758; https://doaj.org/toc/2609-7125 |
DOI: | 10.1051/jnwpu/20244210098 |
URL الوصول: | https://doaj.org/article/af66448c18dc4efca54a5b57349559a7 |
رقم الأكسشن: | edsdoj.f66448c18dc4efca54a5b57349559a7 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 10002758 26097125 |
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DOI: | 10.1051/jnwpu/20244210098 |