Deep Reinforcement Learning-Aided Frequency Control of LCC-S Resonant Converters for Wireless Power Transfer Systems
This research uses Deep Reinforcement Learning, specifically TD3, to automatically tune PI controller parameters for LCC-S resonant converters used in wireless power transfer. The system uses a Direct Piecewise Affine model to handle nonlinear dynamics. The method successfully optimizes the controller, leading to significantly improved output voltage regulation and robustness compared to traditional manual tuning methods.