Neural Power-Optimal Magnetorquer Solution for Multi-Agent Formation and Attitude Control
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.
Cite
@article{arxiv.2412.00548,
title = {Neural Power-Optimal Magnetorquer Solution for Multi-Agent Formation and Attitude Control},
author = {Yuta Takahashi and Shin-ichiro Sakai},
journal= {arXiv preprint arXiv:2412.00548},
year = {2026}
}
Comments
IEEE Robotics and Automation Letters. Preprint Version. Accepted April, 2026 (DOI: https://doi.org/10.1109/LRA.2026.3692064)