A Neural Network-Based Current Controller for a Three-Phase Grid-Connected Voltage-Source Converter
A compact neural network (NN) current controller for a three-phase, grid-connected voltage-source converter (VSC) and learns a smoother bounded incremental law from an underdamped PI current-loop teacher, reducing the averaged overshoot, settling time, integral absolute error, and steady-state error magnitude.