Design of deep neural networks for transfer time prediction of spacecraft electric orbit-raising

Design of deep neural networks for transfer time prediction of spacecraft electric orbit-raising

Recently, there has been a surge in use of electric propulsion to transfer satellites to the geostationary Earth orbit (GEO). Traditionally, the transfer times to reach GEO using all-electric propulsion are obtained by solving challenging trajectory optimization problems that naturally do not lend t...

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Bibliographic Details
Main Authors: Ali Hassaan Mughal, Pardhasai Chadalavada, Arslan Munir, Atri Dutta, Mahmood Azhar Qureshi
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Intelligent Systems with Applications
Subjects:
Deep neural networks
Spacecraft orbit-Raising
Solar-Electric propulsion
Deep reinforcement learning
Orbit transfer
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305322000321

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http://www.sciencedirect.com/science/article/pii/S2667305322000321

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