Application of multicriteria optimization in the problem of spacecraft motion control during descent in the atmosphere of the planet

The aim of this work is to confirm the high efficiency of the population global optimization algorithm in optimal control problems. The paper considers the solution of the optimal control problem using the population algorithm "Big Bang – Big Crunch". As confirmation of the high efficiency of the population algorithm, the numerical results of solving the problem of spacecraft descent in the atmosphere of Jupiter are presented. Software has been developed to solve the problem. © 2021, Univelt Inc. All rights reserved.

Authors
Orlov D.A. 1 , Razoumny Y.N. 2
Conference proceedings
Advances in the Astronautical Sciences
Publisher
Univelt Inc.
Language
English
Pages
163-175
Status
Published
Volume
174
Year
2021
Organizations
  • 1 Department of Mechanics and Mechatronics, RUDN University, 6 Miklukho-Maklaya Str., Moscow, 117198, Russian Federation
  • 2 RUDN University, 6 Miklukho-Maklaya Str., Moscow, 117198, Russian Federation
Keywords
Efficiency; Global optimization; Multiobjective optimization; Optimal control systems; Space applications; Space flight; Space platforms; Big Crunch; Global optimization algorithm; High-efficiency; Multicriteria optimization; Numerical results; Optimal control problem; Spacecraft descent; Spacecraft motion; Population statistics
Date of creation
16.12.2021
Date of change
16.12.2021
Short link
https://repository.rudn.ru/en/records/article/record/76292/
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