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Forecasting of Results of Dynamic Interaction Between Space Debris and Spacecrafts on the Basis of Soft Computing Methods

  • Boris V. Paliukh
  • Valeriy K. Kemaykin
  • Yuliya G. Kozlova
  • I. V. Kozhukhin
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 874)

Abstract

Space debris (SD) is a real danger for spacecraft (S) in-orbit operation. Taking this danger into account is a S flight safety requirement. SD particles are detected by the S on-board equipment. The integrated intelligent information system forecasts, within its execution time, the results of the impact caused by these particles. Such forecasting enables one to evaluate potential damage from the collision and to take sufficient measures to ensure the S safety. The article presents an approach to forecasting the results of dynamic interaction between SD objects and a S on the basis of fuzzy logic rules and the mechanism of knowledge base training, carried out by generative adversarial network (GAN).

Keywords

Space debris Knowledge database Fuzzy systems Damage risk assessment 

Notes

Acknowledgements

The research was done within the government task of the Ministry of Education and Science of the Russian Federation. The number for the publication is 2.1777.2017/4.6.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Boris V. Paliukh
    • 1
  • Valeriy K. Kemaykin
    • 1
  • Yuliya G. Kozlova
    • 1
  • I. V. Kozhukhin
    • 1
  1. 1.Tver State Technical UniversityTverRussia

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