基于微型神经网络的永磁同步电机超局部无模型预测控制

Aiming to address the lack of effective parameter-tuning strategies for model-free predictive controllers, this letter proposes an online self-learning approach using a tiny neural network. First, an incremental model-free predictive control scheme is introduced that incorporates a tiny neural network module. By analyzing the physical relationship between motor voltage and current, the input and o...