This paper describes an approach to neural control of a satellite trajectory. A pseudolinear model is created to generate the necessary training data for the neural network. This model uses an H∞ to stabilize the relative motion of a satellite concerning another satellite. The purpose of this paper is to show the feasibility of such an approach and to better understand the benefits of using a previously trained neural network to control a satellite.
Neural Control of Space Trajectories with Pseudolinear Models
Sustainable aviat.
International Symposium on Aviation Technology, MRO, and Operations ; 2022 ; Belgrade, Serbia September 14, 2022 - September 16, 2022
2023-11-23
6 pages
Article/Chapter (Book)
Electronic Resource
English
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