2023
DOI: 10.1016/j.actaastro.2022.10.019
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Deep learning for deorbiting control of an electrodynamic tether system

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Cited by 11 publications
(3 citation statements)
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“…4, the critical range of  that satisfies inequality (12) narrows gradually with  increase when o i is constant ( 1 and 2 quickly when the out-plane angle is over or close to the corresponding lower bound. These results demonstrate that the libration motion will go tumbling rapidly once the out-plane angle approaches or exceeds its critical range, which can be determined by inequality (12).…”
Section: Critical Range Of φmentioning
confidence: 95%
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“…4, the critical range of  that satisfies inequality (12) narrows gradually with  increase when o i is constant ( 1 and 2 quickly when the out-plane angle is over or close to the corresponding lower bound. These results demonstrate that the libration motion will go tumbling rapidly once the out-plane angle approaches or exceeds its critical range, which can be determined by inequality (12).…”
Section: Critical Range Of φmentioning
confidence: 95%
“…Further, Peláez et al [11] derived the equations of libration motion in elliptic orbit and explored the combined effects of the eccentricity and electrodynamic force. To achieve a more accurate modeling, Ma et al [12] derived the equations of libration motion by incorporating the J2 perturbation of gravitational field. Yang et al [13] utilized the International Geomagnetic Reference Field up to 13th order to model the geomagnetic field, and conducted a comparative analysis between the high order geomagnetic field and non-tilted dipole model.…”
Section: Introductionmentioning
confidence: 99%
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