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Optimal Control of Liquid Propellant Rocket Engines for Landing of Reusable Stages using Deep Reinforcement Learning

Kaiser, Tobias (2021) Optimal Control of Liquid Propellant Rocket Engines for Landing of Reusable Stages using Deep Reinforcement Learning. Master's, Julius-Maximilians-Universität, Würzburg.

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Item URL in elib:https://elib.dlr.de/141212/
Document Type:Thesis (Master's)
Title:Optimal Control of Liquid Propellant Rocket Engines for Landing of Reusable Stages using Deep Reinforcement Learning
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Kaiser, TobiasDLR, Institut für Raumfahrtantriebe, Langer Grund, 74239 HardthausenUNSPECIFIEDUNSPECIFIED
Date:2021
Refereed publication:No
Open Access:No
Number of Pages:62
Status:Published
Keywords:reinforcement learning; simulation; reusable stages
Institution:Julius-Maximilians-Universität, Würzburg
Department:Informatik 7
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):R - Project LUMEN (Liquid Upper Stage Demonstrator Engine)
Location: Lampoldshausen
Institutes and Institutions:Institute of Space Propulsion > Rocket Engine Systems
Deposited By: Hanke, Michaela
Deposited On:12 May 2021 07:00
Last Modified:12 May 2021 07:00

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