A Low-Complexity Artificial Neural Network-Based Optimal Droop Gain Design Strategy for DC Microgrids Onboard the More Electric Aircraft
(2023)
Journal Article
This article proposes a new droop control design method based on a “reversed data training” of artificial neural network (ANN). Conventionally, after data collection, the ANN is used for forward mapping the control variables (inputs) and system respo... Read More about A Low-Complexity Artificial Neural Network-Based Optimal Droop Gain Design Strategy for DC Microgrids Onboard the More Electric Aircraft.