Global optimization of low-thrust space missions using evolutionary neurocontrol

  • 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.

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Metadaten
Author:Bernd DachwaldORCiD
Parent Title (English):Proceedings of the international workshop on global optimization
Document Type:Conference Proceeding
Language:English
Year of Completion:2005
Tag:Evolutionary Neurocontrol; Low-Thrust Propulsion; Spacecraft Trajectory Optimization
Length:6
First Page:85
Last Page:90
Institutes:FH Aachen / Fachbereich Luft- und Raumfahrttechnik
FH Aachen / IfB - Institut für Bioengineering