基于元强化学习的永磁同步电机驱动电流控制

Data-driven reinforcement-learning-based controller schemes have much potential to aid the design of model-free control algorithms that can be trained without the necessity of plant-specific parameter knowledge. Unfortunately, the corresponding training phase is a time-consuming and possibly money-consuming process, which needs to be repeated whenever application to a new plant system is requested...