Rapid Construction of Aerocapture Attainability Sets Using Sequential Convex Programming

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...

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Main Authors: Rui Teng, Hongwei Han, Jilin Chen
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/13/6437
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author Rui Teng
Hongwei Han
Jilin Chen
author_facet Rui Teng
Hongwei Han
Jilin Chen
author_sort Rui Teng
collection DOAJ
description 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.
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spelling doaj.art-5c91a267da8a4099aba7970dde520ec22023-11-23T19:36:37ZengMDPI AGApplied Sciences2076-34172022-06-011213643710.3390/app12136437Rapid Construction of Aerocapture Attainability Sets Using Sequential Convex ProgrammingRui Teng0Hongwei Han1Jilin Chen2School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100811, ChinaSchool of Aerospace Engineering, Beijing Institute of Technology, Beijing 100811, ChinaSchool of Aerospace Engineering, Beijing Institute of Technology, Beijing 100811, ChinaThis 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.https://www.mdpi.com/2076-3417/12/13/6437aerocapture attainability setdimensionality reductionboundary pointssequential convex programming
spellingShingle Rui Teng
Hongwei Han
Jilin Chen
Rapid Construction of Aerocapture Attainability Sets Using Sequential Convex Programming
Applied Sciences
aerocapture attainability set
dimensionality reduction
boundary points
sequential convex programming
title Rapid Construction of Aerocapture Attainability Sets Using Sequential Convex Programming
title_full Rapid Construction of Aerocapture Attainability Sets Using Sequential Convex Programming
title_fullStr Rapid Construction of Aerocapture Attainability Sets Using Sequential Convex Programming
title_full_unstemmed Rapid Construction of Aerocapture Attainability Sets Using Sequential Convex Programming
title_short Rapid Construction of Aerocapture Attainability Sets Using Sequential Convex Programming
title_sort rapid construction of aerocapture attainability sets using sequential convex programming
topic aerocapture attainability set
dimensionality reduction
boundary points
sequential convex programming
url https://www.mdpi.com/2076-3417/12/13/6437
work_keys_str_mv AT ruiteng rapidconstructionofaerocaptureattainabilitysetsusingsequentialconvexprogramming
AT hongweihan rapidconstructionofaerocaptureattainabilitysetsusingsequentialconvexprogramming
AT jilinchen rapidconstructionofaerocaptureattainabilitysetsusingsequentialconvexprogramming