Learning-Based Adaptive MPC for Satellite Attitude Control
Learning-Based Adaptive MPC for Magnetorquer-Only Satellite Attitude Control
This study presents a learning-based adaptive MPC algorithm for magnetorquer-only satellite control. It improves controller success by 5% in Earth-orbit and 61% in Uranus-orbit simulations.
Source: arXiv Robotics — research abstracts · Read original article ↗
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hority and require full knowledge of the planetary magnetic field. In this work, we present a learning-based adaptive model predictive control (MPC) algorithm that plans rotational trajectories for the satellite while accounting for this loss of control authority. Key to our approach is the inclusion of a learned magnetic field model that is trained in simulation using low-fidelity magnetic field data. Using measurem
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algorithm improves controller success for these system simulations by 5% and 61%, respectively.
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Source：arXiv Robotics — research abstracts · arxiv.org