This survey is devoted to the analysis of the superposition of gravitational and magneto-electric effects in the problems of dynamics and control of the orbital and angular motion of spacecraft (SC) and SC constellations under the conditions of disturbances, noises and uncertainties. We consider spacecraft and constellations of spacecraft interacting with the geomagnetic field through Lorentz forces and moments, as well as moments caused by magnetic interaction. We briefly analyze a wide range of papers which describe the dynamics of the controlled motion of spacecraft and constellations of spacecraft moving in the gravitational and magnetic fields of the Earth with disturbances, noises and uncertainties and reduce their negative impact by applying such methods of artificial intelligence (AI) as randomized algorithms of optimization and estimation, genetics algorithm, fuzzy logic satellite attitude control, deep reinforcement learning applied to spacecraft attitude control and neural network-based method.

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A Brief Survey of AI-Based Methods in Astrodynamics Problems with Disturbances, Noises and Uncertainties

  • Natalia Amelina,
  • Oleg Granichin,
  • Yury Ivanskiy,
  • Kseniia Kopylova,
  • Margarita Maksimenko,
  • Vadim Sakharov,
  • Aleksei Tikhonov

摘要

This survey is devoted to the analysis of the superposition of gravitational and magneto-electric effects in the problems of dynamics and control of the orbital and angular motion of spacecraft (SC) and SC constellations under the conditions of disturbances, noises and uncertainties. We consider spacecraft and constellations of spacecraft interacting with the geomagnetic field through Lorentz forces and moments, as well as moments caused by magnetic interaction. We briefly analyze a wide range of papers which describe the dynamics of the controlled motion of spacecraft and constellations of spacecraft moving in the gravitational and magnetic fields of the Earth with disturbances, noises and uncertainties and reduce their negative impact by applying such methods of artificial intelligence (AI) as randomized algorithms of optimization and estimation, genetics algorithm, fuzzy logic satellite attitude control, deep reinforcement learning applied to spacecraft attitude control and neural network-based method.