Spacecraft Attitude Control Under Multiple Constraints: A Progressive Deep Reinforcement Learning Approach
An end-to-end large-angle attitude tracking control framework for spacecraft under multiple physical constraints based on deep reinforcement learning (DRL) is proposed, including attitude pointing constraints, moment amplitude constraints and internal disturbances. Unlike conventional Euler angle and quaternion represe...