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.

翻译：本文提出了一种基于学习的电流计算模型，旨在实现多智能体编队与姿态控制中磁场相互作用的功率最优。在航天工程中，电磁线圈被称为磁力矩器（MTQ）线圈，用于地球轨道上的卫星姿态执行器，并用于长期编队与姿态控制。本研究通过序列凸规划推导出一种独特、连续且功率最优的电流解，并使用多层感知机模型对其进行逼近。通过数值仿真和编队与姿态控制的实验验证，证明了所提策略的有效性。