Autonomous implementation of dynamic operations in a geostationary orbit. II. Synthesis of control algorithms
- Authors: Voiskovskii A.P.1, Krasil’shchikov M.N.1, Malyshev V.V.1, Fedorov A.V.1
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Affiliations:
- Moscow Aviation Institute (National Research University)
- Issue: Vol 55, No 6 (2016)
- Pages: 948-968
- Section: Navigation Systems
- URL: https://journals.rcsi.science/1064-2307/article/view/219766
- DOI: https://doi.org/10.1134/S1064230716060113
- ID: 219766
Cite item
Abstract
This study continues the series of papers devoted to the problems of autonomous operation of spacecraft in a geostationary orbit. The solution of the problem considered here assumes the formation of a set of algorithms for control processes in a closed autonomous spacecraft control and navigation system in a geostationary orbit. The paper is aimed at the formalization and solution of the new technical task of autonomous control during the spacecraft’s ascent to the given orbital position and remaining in this position. An important requirement is to provide the safe separation of several spacecraft in one orbital position. The control problem is solved using the combined optimization method developed by us; in this method, the control vector is divided into the synthesized and the programmed components taking into account the principle of the separation of the navigation and control problem in the stochastic approach. The motion’s models proposed in the previous paper are used to develop the control algorithms for a spacecraft’s ascent to the working position in a geostationary orbit and remaining in this position. The results of the algorithms simulating the ascent and maintaining for the exactly known state vector taking into account the random spread of the initial conditions and thrust are presented.
About the authors
A. P. Voiskovskii
Moscow Aviation Institute (National Research University)
Email: mnkr@mail.ru
Russian Federation, Moscow
M. N. Krasil’shchikov
Moscow Aviation Institute (National Research University)
Author for correspondence.
Email: mnkr@mail.ru
Russian Federation, Moscow
V. V. Malyshev
Moscow Aviation Institute (National Research University)
Email: mnkr@mail.ru
Russian Federation, Moscow
A. V. Fedorov
Moscow Aviation Institute (National Research University)
Email: mnkr@mail.ru
Russian Federation, Moscow