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Advanced Modeling and Trajectory Optimization of the In-Air-Capturing Maneuver for Winged RLVs

Briese, Lale Evrim and Gäßler, Björn (2020) Advanced Modeling and Trajectory Optimization of the In-Air-Capturing Maneuver for Winged RLVs. In: Proceedings of the International Astronautical Congress, IAC. 71st International Astronautical Congress, The CyberSpace Edition, 2020-10-12 - 2020-10-14, online. ISSN 0074-1795.

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Abstract

Future reusable launch vehicle concepts and their key technologies have been investigated within the DLR research project AKIRA. In this context, several return options for reusable launch vehicles (RLV) were categorized by vertical (SpaceX, Blue Origin) or horizontal landing strategies (Space Shuttle), and then systematically evaluated based on their influence on overall design and technical feasibility. In general, system dynamics, guidance, and control aspects are of special importance within preliminary design studies, in particular if complex and difficult maneuvers like the DLR patented in-air-capturing method are considered. In this case, the unpowered winged RLV is captured during descent by an aerodynamically controlled capturing device which is connected to an aircraft by a cable. After successful capturing, the launch vehicle is towed back to a feasible landing site.

In previous studies, the technical feasibility of the in-air-capturing maneuver was mainly assessed by simulations for an aerodynamically controlled RLV and an aircraft which is assumed to be passive. In contrast to this, we consider an optimal control approach to the problem of in-air-capturing, investigating both passive and active (cooperative) RLV and aircraft operations. To study the risk of failure of the in-air-capturing maneuver, both the initial capturing approach and a subsequent second attempt for recapture after an initial miss are analyzed. For this purpose, a multi-disciplinary multibody modeling and simulation framework based on the object-oriented modeling language MODELICA is used for the consistent flight dynamics modeling of each vehicle including a rigid cable connecting the aircraft and its capturing device. The trajectory optimization results provide an overview of the dynamic behavior of the multibody system for several constraints and flight conditions. Additionally, the results show that for a successful in-air-capturing maneuver with minimum control effort and multiple recapturing attempts, an actively controlled aircraft with drag-increasing subsystems and a cooperative launch vehicle maintaining a suitable flight path angle are recommended. The obtained reference trajectories can be used for future controllability studies and control system design considering a flexible cable and disturbances.

Item URL in elib:https://elib.dlr.de/136684/
Document Type:Conference or Workshop Item (Speech)
Title:Advanced Modeling and Trajectory Optimization of the In-Air-Capturing Maneuver for Winged RLVs
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Briese, Lale EvrimLale.Briese (at) dlr.dehttps://orcid.org/0000-0003-0900-2005UNSPECIFIED
Gäßler, BjörnBjoern.Gaessler (at) dlr.deUNSPECIFIEDUNSPECIFIED
Date:October 2020
Journal or Publication Title:Proceedings of the International Astronautical Congress, IAC
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
ISSN:0074-1795
Status:Published
Keywords:multibody modeling, trajectory optimization, in-air capturing maneuver, flight dynamics, reusable launch vehicles, launch vehicle system dynamics
Event Title:71st International Astronautical Congress, The CyberSpace Edition
Event Location:online
Event Type:international Conference
Event Start Date:12 October 2020
Event End Date:14 October 2020
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Transportation
DLR - Research area:Raumfahrt
DLR - Program:R RP - Space Transportation
DLR - Research theme (Project):Proj RLV-Schlüsseltechnologien (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of System Dynamics and Control > Space System Dynamics
Deposited By: Briese, Lale Evrim
Deposited On:24 Nov 2020 17:47
Last Modified:24 Apr 2024 20:38

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