دورية أكاديمية

Rapid Construction of Aerocapture Attainability Sets Using Sequential Convex Programming

التفاصيل البيبلوغرافية
العنوان: Rapid Construction of Aerocapture Attainability Sets Using Sequential Convex Programming
المؤلفون: Rui Teng, Hongwei Han, Jilin Chen
المصدر: Applied Sciences, Vol 12, Iss 13, p 6437 (2022)
بيانات النشر: MDPI AG, 2022.
سنة النشر: 2022
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
مصطلحات موضوعية: aerocapture attainability set, dimensionality reduction, boundary points, sequential convex programming, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: This paper proposes a novel method to efficiently construct the aerocapture attainability set based on convex optimization. Using dimensionality reduction, constructing the attainability set is equivalent to solving a set of discrete points on its boundary. As solving each of the boundary points is a typical nonlinear optimal control problem, a sequential convex programming method is adopted. The efficiency and accuracy of the proposed algorithm is demonstrated by high-fidelity numerical results. This is the first time that the configuration of the aerocapture attainability set is precisely described by the state variables at atmospheric exit. Since the quantification of the set is significant for assessing the feasibility of performing an aerocapture maneuver, the proposed method can be used as a reliable tool for systematic design for aerocapture mission.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2076-3417
Relation: https://www.mdpi.com/2076-3417/12/13/6437; https://doaj.org/toc/2076-3417
DOI: 10.3390/app12136437
URL الوصول: https://doaj.org/article/5c91a267da8a4099aba7970dde520ec2
رقم الأكسشن: edsdoj.5c91a267da8a4099aba7970dde520ec2
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20763417
DOI:10.3390/app12136437