TY  - JOUR
A1  - Blome, Hans-Joachim
T1  - Die Entstehung des Kosmos - Vom Anfang der Welt bis zum komplexen Universum
JF  - Homo spaciens - der Mensch im Kosmos : ein interdisziplinärer Ausblick auf Ursprung und Zukunft des Menschen im All ; Berichtsband der Tagung "Mensch im Kosmos IV" vom 14. - 16.10.2004 auf Schloß Theuern/Oberpfalz / P. R. Sahm, ...  Hans-Joachim Blome(Hrsg.)
Y1  - 2005
SN  - 3-9807330-8-4
N1  - Tagung Mensch im Kosmos (4, 2004, Theuern, Kümmersbruck)
PB  - Discorsi
CY  - Hamburg
ER  - 
TY  - JOUR
A1  - Blome, Hans-Joachim
A1  - Kosbow, Michael
T1  - The Pioneer Anomaly in the context of non-Newtonian Gravity
JF  - International Astronautical Congress : final papers : October 17-21, 2005, Fukuoka, Japan
Y1  - 2005
N1  - Proceedings IAC-2005-C1.P.20 ;International Astronautical Congress ; (56, 2005, Fukuoka, Japan)
SP  - 20
EP  - 20
PB  - International Astronautical Federation
CY  - Paris
ER  - 
TY  - JOUR
A1  - Blome, Hans-Joachim
A1  - Wilson, Thomas L.
T1  - The quantum temperature of accelerating cosmological models of an entangled Universe
JF  - Advances in Space Research. 35 (2005), H. 1
Y1  - 2005
SN  - 0273-1177
SP  - 111
EP  - 115
ER  - 
TY  - CHAP
A1  - Braun, Carsten
A1  - Boucke, Alexander
A1  - Ballmann, Josef
T1  - Numerical prediction of the wing deformation of a high speed transport aircraft type wind tunnel model by direct aeroelastic simulation
T2  - Conference proceedings : CEAS/AIAA/DGLR International Forum on Aeroelasticity and Structural Dynamics IFASD 2005 : München, June 28 - July 1, 2005. DGLR-Bericht. 2005,04
Y1  - 2005
SN  - 3-932182-43-X
PB  - DGLR
CY  - Bonn
ER  - 
TY  - CHAP
A1  - Braun, Carsten
A1  - Boucke, Alexander
A1  - Ballmann, Josef
T1  - Numerical study of the influence of dynamic pressure and deflected ailerons on the deformation of a high speed wing model
T2  - High performance computing in science and engineering '04. Transactions of the High Performance Computing Center Stuttgart (HLRS) 2004 /  Eds.: Egon Krause ...
Y1  - 2005
SN  - 3-540-22943-4
SP  - 225
EP  - 236
PB  - Springer
CY  - Berlin
ER  - 
TY  - JOUR
A1  - Czupalla, Markus
A1  - Horneck, G.
A1  - Blome, Hans-Joachim
T1  - The conceptual design of a hybrid life support system based on the evaluation and comparison of terrestrial testbeds
JF  - Advances in Space Research
Y1  - 2005
SN  - 0273-1177
VL  - 35
IS  - 9
SP  - 1609
EP  - 1620
ER  - 
TY  - JOUR
A1  - Dachwald, Bernd
T1  - Optimization of very-low-thrust trajectories using evolutionary neurocontrol
JF  - Acta Astronautica. 57 (2005), H. 2-8
Y1  - 2005
SN  - 0094-5765
SP  - 175
EP  - 185
ER  - 
TY  - JOUR
A1  - Dachwald, Bernd
T1  - Optimal Solar Sail Trajectories for Missions to the Outer Solar System
JF  - Journal of guidance, control, and dynamics. 28 (2005), H. 6
Y1  - 2005
SN  - 0162-3192
N1  - 2. ISSN: 0162-3192. - 3. ISSN: 0731-5090
SP  - 1187
EP  - 1193
ER  - 
TY  - CHAP
A1  - Dachwald, Bernd
T1  - Global optimization of low-thrust space missions using evolutionary neurocontrol
T2  - Proceedings of the international workshop on global optimization
N2  - Low-thrust space propulsion systems enable flexible high-energy deep space missions, but the design and optimization of the interplanetary transfer trajectory is usually difficult. It involves much experience and expert knowledge because the convergence behavior of traditional local trajectory optimization methods depends strongly on an adequate initial guess. Within this extended abstract, evolutionary neurocontrol, a method that fuses artificial neural networks and evolutionary algorithms, is proposed as a smart global method for low-thrust trajectory optimization. It does not require an initial guess. The implementation of evolutionary neurocontrol is detailed and its performance is shown for an exemplary mission.
KW  - Evolutionary Neurocontrol
KW  - Spacecraft Trajectory Optimization
KW  - Low-Thrust Propulsion
Y1  - 2005
SP  - 85
EP  - 90
ER  - 
TY  - JOUR
A1  - Dachwald, Bernd
T1  - Optimization of very-low-thrust trajectories using evolutionary neurocontrol
JF  - Acta Astronautica
N2  - Searching optimal interplanetary trajectories for low-thrust spacecraft is usually a difficult and time-consuming task that involves much experience and expert knowledge in astrodynamics and optimal control theory. This is because the convergence behavior of traditional local optimizers, which are based on numerical optimal control methods, depends on an adequate initial guess, which is often hard to find, especially for very-low-thrust trajectories that necessitate many revolutions around the sun. The obtained solutions are typically close to the initial guess that is rarely close to the (unknown) global optimum. Within this paper, trajectory optimization problems are attacked from the perspective of artificial intelligence and machine learning. Inspired by natural archetypes, a smart global method for low-thrust trajectory optimization is proposed that fuses artificial neural networks and evolutionary algorithms into so-called evolutionary neurocontrollers. This novel method runs without an initial guess and does not require the attendance of an expert in astrodynamics and optimal control theory. This paper details how evolutionary neurocontrol works and how it could be implemented. The performance of the method is assessed for three different interplanetary missions with a thrust to mass ratio <0.15mN/kg (solar sail and nuclear electric).
Y1  - 2005
SN  - 1879-2030
VL  - 57
IS  - 2-8
SP  - 175
EP  - 185
PB  - Elsevier
CY  - Amsterdam [u.a.]
ER  -