[HTML][HTML] Experimental and simulative evaluation of a reinforcement learning based cold gas thrust chamber pressure controller

T Hörger, L Werling, K Dresia, G Waxenegger-Wilfing… - Acta Astronautica, 2024 - Elsevier
At DLR neural networks, as potential future controller for rocket engines, are studied. A
neural network-based chamber pressure controller for a simplified cold gas thruster is …

Research and Test Activities on Advanced Rocket Propellants at DLR's Institute of Space Propulsion in Lampoldshausen

L Werling, D Freudenmann, SC Ricker, M Wilhelm… - 2022 - elib.dlr.de
The present paper gives a comprehensive overview and summary of research and test
activities conducted at the test facility M11 and the physical-chemical lab at DLR in …

Machine Learning Based Combustion Chamber Pressure and Mixture Ratio Controller-Simulative and Experimental Evaluation of Control Performance

T Hörger, K Dresia, G Waxenegger-Wilfing… - AIAA SCITECH 2025 …, 2025 - arc.aiaa.org
A combustion chamber pressure-and mixture ratio-controller based on deep reinforcement
learning methods is under development at German Aerospace Center-DLR. Training and …

[PDF][PDF] Design and Robustness Analysis of Neural Network Based Control of Rocket Engine Turbopumps

A Adler - 2022 - elib.dlr.de
This master thesis presents the design of a neural network based controller capable of
controlling a high-performance fuel turbopump of a liquid rocket engine. After the giant leaps …

[PDF][PDF] Development, Testing and Characterization of a Reinforcement Learning Based Controller for an Experimental Nitrogen Cold Gas Engine

C Kley - 2022 - elib.dlr.de
Raketentriebwerke und Orbitalantriebe verwenden heutzutage meist voreingestellte
Regelventilsequenzen zur Antriebssteuerung. Eine zustandsabhängige Regelung kommt in …