  Reinforcement learning (RL) control approach with application into power
electronics systems has become an emerging topic whilst the sim-to-real issue
remains a challenging problem as very few results can be referred to in the
literature. Indeed, due to the inevitable mismatch between simulation models
and real-life systems, offline trained RL control strategies may sustain
unexpected hurdles in practical implementation during transferring procedure.
As the main contribution of this paper, a transferring methodology via a
delicately designed duty ratio mapping (DRM) is proposed for a DC-DC buck
converter. Then, a detailed sim-to-real process is presented to enable the
implementation of a model-free deep reinforcement learning (DRL) controller.
The feasibility and effectiveness of the proposed methodology are demonstrated
by comparative experimental studies.
