A Simplified ANN Based Power Decoupling Method of MAB Converters

To deal with the decoupling control problem between ports of multiple active bridge (MAB) converters, This paper proposes a simplified artificial neural networks (ANN) based power decoupling method for MAB converters. Using the ANN model, the computational complexity and training data requirements of the model are reduced compared to iterative optimization algorithms. The parameter sensitivity is low, and it can accept output errors of less than 2% under 30% voltage fluctuations, improving output accuracy and achieving complete power decoupling, simplifying the complexity of MAB control.