基于BP神经网络拟合显式时域关系的Buck变换器全参数辨识

In this article, a backpropagation neural network (BP-NN) is employed to identify all component parameters of the Buck converter by fitting the explicit time-domain relationships. Thanks to the powerful ability to fit the nonlinear relationship of BP-NN, the proposed method can effectively avoid a large amount of direct calculation and thus it is convenient to implement. Meanwhile, the explicit ti...