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Hybrid Direct-Indirect Strategy for Optimal Landing Guidance of Reusable Rockets

Spada, Fabio (2022) Hybrid Direct-Indirect Strategy for Optimal Landing Guidance of Reusable Rockets. Masterarbeit, Politecnico of Milan.

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Kurzfassung

The present work focuses on developing a fast and accurate algorithm to find feasible trajectories for reusable rockets’ landing while minimizing their fuel consumption. Trajectory exploits aerodynamic forces, thus an Optimal Aerodynamic Powered Landing Problem is faced. A hybrid strategy is adopted, combining convex direct optimization with a novel indirect collocation scheme. A Covector Mapping Theorem is exploited to bridge the two methods. Development of the algorithm is organized in two steps: firstly, the structure of the optimal solution is derived solving the problem with a single shooting indirect method combined with a double homotopic continuation scheme; in second instance, an algorithm tailored on the optimal solution structure is presented and discussed. The suggested strategy is finally compared with the homotopic continuation scheme considering accuracy and computational times. Outcome is a net superiority of the designed algorithm over the homotopic technique; the power of a hybrid approach is therefore demonstrated over traditional solution methods.

elib-URL des Eintrags:https://elib.dlr.de/193899/
Dokumentart:Hochschulschrift (Masterarbeit)
Titel:Hybrid Direct-Indirect Strategy for Optimal Landing Guidance of Reusable Rockets
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Spada, Fabiofabio.spada (at) mail.polimi.itNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:6 Oktober 2022
Erschienen in:Hybrid Direct-Indirect Strategy for Optimal Landing Guidance of Reusable Rockets
Referierte Publikation:Nein
Open Access:Ja
Seitenanzahl:126
Status:veröffentlicht
Stichwörter:Reusable Rockets, Trajectory Optimization, Indirect methods, Direct Methods, Convex Optimization, Pseudospectral methods
Institution:Politecnico of Milan
Abteilung:School of Industrial Engineering and Information
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Raumtransport
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R RP - Raumtransport
DLR - Teilgebiet (Projekt, Vorhaben):R - Projekt CALLISTO [RP]
Standort: Bremen
Institute & Einrichtungen:Institut für Raumfahrtsysteme > Navigations- und Regelungssysteme
Hinterlegt von: Sagliano, Marco
Hinterlegt am:15 Feb 2023 11:26
Letzte Änderung:15 Feb 2023 11:26

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