Nature

Reinforcement learning-driven model predictive control for optimizing counter-rotating permanent magnet synchronous motor in submarine propulsion system

Counter Rotating Permanent Magnet Synchronous Motors (CRPMSM) are increasingly favored in underwater application due to their high torque density, efficiency and ability to cancel out yaw inducing ...
Nature

Improving frequency stability in grid-forming inverters with adaptive model predictive control and novel COA-jDE optimized reinforcement learning

The increasing integration of inverter-interfaced renewable energy sources (IIRES) has fundamentally changed the dynamics of current power systems, resulting in a significant decrease in grid inertia, ...