Online self-tuning of active disturbance rejection control for PMSM drives via physics-guided reinforcement learning
A self-calibrating context-adaptive reward activation (CARA) mechanism is introduced, providing phase-aware guidance for transient response, disturbance rejection, and steady-state tracking in the online self-tuning of active disturbance rejection control for permanent magnet synchronous motor (PMSM) drives.