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

arXiv: https://arxiv.org/abs/2412.00548 · HTML: https://mlsanity.com/paper/2412.00548/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Nov 2024.

## Built on by (most cited first, 1 of 1)

- [Certified Coil Geometry Learning for Short-Range Magnetic Actuation and Spacecraft Docking Application](https://mlsanity.com/paper/2507.03806/) (2025)

## Abstract (arXiv)

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.