Adaptive Electromechanical Dispenser Architecture for Reinforcement Learning-Optimized Satellite Deployment

This research presents an adaptive electromechanical satellite dispenser architecture that eliminates pyrotechnic shock through closed-loop variable-velocity control. Traditional deployment systems rely on springs and pyrotechnics that generate >1000G shock loads and fixed separation velocities, creating the "48-hour problem" where satellites require days to achieve safe orbital spacing. Our ball screw actuator system with motorized roll-up gates enables precise velocity control from 0-0.5 m/s with <10G shock levels.
We developed a custom Gymnasium environment and trained a PPO agent using Stable Baselines3 to optimize deployment sequences. The system achieves 95-100% deployment success with S-curve velocity profiles, reducing initial collision probability by 60% compared to fixed-velocity springs. Key advantages include abort capabilities impossible with one-shot pyrotechnics, 0.001% catastrophic failure rates versus 0.1-0.5% for pyrotechnics, and variable exit velocities that enable immediate constellation phasing. All software is open-sourced for reproducibility.