A methodical approach to solving the problem of autonomous parrying of contingencies situations in spacecraft control

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Abstract

As part of the main trends in the development of world space activities - expanding the composition of near-Earth orbital constellations of spacecraft, intensifying the study of planets and bodies of the solar system, increasing the requirements for the quality and reliability of space expeditions - the problem of developing and improving the methodology of optimal control, system analysis, decision support to design highly efficient spacecraft control systems is brought to the fore. These studies include the formation of methodological approaches to the study of the optimal control of spacecraft during their movement in the atmospheres of planets, the autonomous control of a spacecraft under conditions of uncertain flight situations, etc. The problematic issues of designing deep space expeditions include the organization of effective control of the spacecraft with its considerable distance from ground stations. At the same time, an uncontested condition for the successful implementation of flight programs is the development and application of autonomous spacecraft control systems based on the use of highly efficient technologies for collecting and processing measurement information. This determines the need to improve the methods and algorithms of autonomous decision-making on the spacecraft control. The authors develop a new methodological approach to the structural construction of autonomous spacecraft control systems based on the created technologies for identifying flight situations: processing measurements; forming logical decision rules; forecasting flight trajectories and on-board equipment operability. A formal statement of the problem of autonomous decision-making on spacecraft control is provided.

About the authors

Dmitry A. Orlov

RUDN University

Author for correspondence.
Email: orlov-da@rudn.ru
ORCID iD: 0000-0002-2733-4479
SPIN-code: 5313-6772
Scopus Author ID: 57193905914

Ph.D of Technical Sciences, Associate Professor of the Department of Mechanics and Control Processes, Academy of Engineering

6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation

Sergei A. Kupreev

RUDN University

Email: kupreev-sa@rudn.ru
ORCID iD: 0000-0002-8657-2282
SPIN-code: 2287-2902
Scopus Author ID: 57201885865

Doctor of Sciences (Techn.), Professor of the Department of Mechanics and Control Processes, Academy of Engineering

6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation

Oleg E. Samusenko

RUDN University

Email: samusenko@rudn.ru
ORCID iD: 0000-0002-8350-9384
SPIN-code: 6613-5152

Ph.D of Technical Sciences, Head of the Department of Innovation Management in Industries, Academy of Engineering

6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation

Vitaly M. Melnikov

RUDN University

Email: vitalymelnikov45@yandex.ru
ORCID iD: 0000-0002-2114-7891
Scopus Author ID: 16646368100

Academician of the K.E. Tsiolkovsky Russian Academy of Cosmonautics and International Academy of Informatization, Doctor of Sciences (Techn.), Professor of the Department of Mechanics and Control Processes, Academy of Engineering

6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation

Irina V. Burkova

Institute of Control Sciences, Russian Academy of Sciences

Email: irbur27@gmail.com
ORCID iD: 0000-0002-4671-0847
SPIN-code: 8047-7930

Doctor of Sciences (Techn.), leading researcher

65 Profsoyuznaya St, Moscow, 117997, Russian Federation

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Copyright (c) 2023 Orlov D.A., Kupreev S.A., Samusenko O.E., Melnikov V.M., Burkova I.V.

License URL: https://creativecommons.org/licenses/by-nc/4.0/legalcode

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