This paper presents an efficient algorithm for finding the power-optimal currents of magnetorquer, a satellite attitude actuator in Earth orbit, for multi-agent formation and attitude control. Specifically, this study demonstrates that a set of power-optimal solutions can be derived through sequential convex programming and proposes a method to approximate these solutions using a deep neural network (DNN). The practicality of this DNN model is demonstrated through numerical simulations of formation and attitude control.

翻译：本文提出了一种高效算法，用于求解地球轨道卫星姿态执行器——磁力矩器的功率最优电流，以实现多智能体编队与姿态控制。具体而言，本研究证明可通过序列凸规划推导出一组功率最优解，并提出了一种利用深度神经网络（DNN）近似这些解的方法。通过编队与姿态控制的数值仿真，验证了该DNN模型的实用性。