Optimal control of deployment of the spoke of a transformable reflector in the presence of disturbances
Автор: Kabanov S. A., Kabanov D. S., Nikulin E. N., Mitin F. V.
Журнал: Сибирский аэрокосмический журнал @vestnik-sibsau
Рубрика: Авиационная и ракетно-космическая техника
Статья в выпуске: 4 т.22, 2021 года.
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One of the promising types of spacecrafts is large-size transformable reflectors. Such apparatuses are delivered to a target orbit folded, and then deployed to a working condition. The large aperture allows you to significantly expand the capabilities of the antenna. In this case, the tasks arise of a smooth and reliable deployment, adjusting the shape of a radio-reflecting net, and adjusting the orbital position. Due to the fact that the deployment process takes a long time, accounting for disturbing influences is an important problem. The presence of radiation, large temperature differences, solar wind affects the entire system and mainly on the directional diagram. It is also necessary to smoothly deployment the structural elements, since with an increase in the diameter of the radio-reflecting surface, the moments of inertia of the antenna increase, which leads to prolonged oscillations. In this paper, the process of deployment of the reflector spokes in the presence of disturbances and measurement errors is considered. The solution to the problem is presented using the separation theorem. To estimate the parameters of the system in the presence of measurement noise, the Kalman filter is applied. Its performance is shown at various values of the noise intensity. A random process such as white noise was selected as external disturbances and measurement noises. The control problem is solved using the optimal control algorithm according to the hierarchy of target criteria. The possibility of minimizing energy costs by means of interval switching on of measuring sensors is shown. The results of numerical simulation are presented.
Sequential optimization algorithm, large-size transformable reflector, optimal filtration, mathematical model, modeling
Короткий адрес: https://sciup.org/148323929
IDR: 148323929 | DOI: 10.31772/2712-8970-2021-22-4-649-659