Neural Power-Optimal Magnetorquer Solution for Multi-Agent Formation and Attitude Control

Yuta Takahashi, Shin-ichiro Sakai
11/30/2024
cs.MA

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Abstract

This paper presents a learning-based current calculation model to achieve power-optimal magnetic-field interaction for multi-agent formation and attitude control. In aerospace engineering, electromagnetic coils are referred to as magnetorquer (MTQ) coils and used as satellite attitude actuators in Earth's orbit and for long-term formation and attitude control. This study derives a unique, continuous, and power-optimal current solution via sequential convex programming and approximates it using a multilayer perceptron model. The effectiveness of our strategy was demonstrated through numerical simulations and experimental trials on the formation and attitude control.

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Cite this paper

@article{takahashi2024neural,
  title  = {Neural Power-Optimal Magnetorquer Solution for Multi-Agent Formation and Attitude Control},
  author = {Yuta Takahashi and Shin-ichiro Sakai},
  year   = {2024},
  eprint = {2412.00548},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2412.00548v2}
}

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