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◆ IEEE Robotics and Automation Letters2026-05-11· Control (management)

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

Yuta Takahashi, Shin-ichiro Sakai

原始摘要(英文原文)· Original abstract
This paper presents a learning-based current calculation framework to achieve power-optimal magnetic-field interaction for multi-agent formation and attitude control. In aerospace engineering, electromagnetic coils are referred to as magnetorquer 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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