Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная
On Using a Neural Network to Stabilize the Angular Position of a Satellite. / Максименко, Маргарита Владимировна; Орехов, Константин Андреевич; Сахаров, Вадим Юрьевич; Тихонов, Алексей Александрович.
9th International Conference on Information, Control, and Communication Technologies (ICCT). Gomel, Belarus : Institute of Electrical and Electronics Engineers Inc., 2026. стр. 1-5.Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная
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TY - GEN
T1 - On Using a Neural Network to Stabilize the Angular Position of a Satellite
AU - Максименко, Маргарита Владимировна
AU - Орехов, Константин Андреевич
AU - Сахаров, Вадим Юрьевич
AU - Тихонов, Алексей Александрович
N1 - M. V. Maksimenko, K. A. Orekhov, V. Y. Sakharov and A. A. Tikhonov, "On Using a Neural Network to Stabilize the Angular Position of a Satellite," 2025 9th International Conference on Information, Control, and Communication Technologies (ICCT), Gomel, Belarus, 2025, pp. 1-5, doi: 10.1109/ICCT67028.2025.11427771.
PY - 2026/3
Y1 - 2026/3
N2 - The paper considers an artificial Earth satellite moving in a Keplerian circular orbit of arbitrary inclination. To stabilize the angular position of the satellite in the orbital coordinate system, an electrodynamic attitude control system is used based on the simultaneous use of two control torques-the Lorentz torque and the torque of magnetic interaction. The problem of stabilizing the satellite in the straight equilibrium position is solved, taking into account the influence of the disturbing effect of the gravitational torque. The decision is made in two stages. At the first stage, using the Monte Carlo method, the gain coefficients included in the expressions for the control torques are selected, and at the second stage, the neural network is trained based on previously found controls. The found controls are compared with similar controls previously constructed analytically. The effectiveness of the proposed approach is shown. The convergence of the control process to program motion under any randomly set initial conditions from a wide range is demonstrated.
AB - The paper considers an artificial Earth satellite moving in a Keplerian circular orbit of arbitrary inclination. To stabilize the angular position of the satellite in the orbital coordinate system, an electrodynamic attitude control system is used based on the simultaneous use of two control torques-the Lorentz torque and the torque of magnetic interaction. The problem of stabilizing the satellite in the straight equilibrium position is solved, taking into account the influence of the disturbing effect of the gravitational torque. The decision is made in two stages. At the first stage, using the Monte Carlo method, the gain coefficients included in the expressions for the control torques are selected, and at the second stage, the neural network is trained based on previously found controls. The found controls are compared with similar controls previously constructed analytically. The effectiveness of the proposed approach is shown. The convergence of the control process to program motion under any randomly set initial conditions from a wide range is demonstrated.
KW - Monte Carlo method
KW - artificial neural network
KW - electrodynamic attitude control
KW - satellite
KW - stabilization
UR - https://www.mendeley.com/catalogue/049fd876-ba2c-3bf9-a8e9-7a00500e15a2/
U2 - 10.1109/icct67028.2025.11427771
DO - 10.1109/icct67028.2025.11427771
M3 - Conference contribution
SN - 979-8-3315-6802-3
SP - 1
EP - 5
BT - 9th International Conference on Information, Control, and Communication Technologies (ICCT)
PB - Institute of Electrical and Electronics Engineers Inc.
CY - Gomel, Belarus
T2 - 9th International Conference on Information, Control, and Communication Technologies (ICCT)
Y2 - 7 October 2025 through 11 October 2025
ER -
ID: 150753294