Neural Power-Optimal Magnetorquer Solution for Multi-Agent Formation and Attitude Control
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.
Fields of Study & Subjects
Robotic Path Planning Algorithms
Inertial Sensor and Navigation
Target Tracking and Data Fusion in Sensor Networks
Publication details
- Journal / source
- IEEE Robotics and Automation Letters
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Volume
- 11
- Issue
- 7
- Pages
- 8339–8346
- Publication date
- 11 May 2026
- Language
- EN