Neural network- fuzzy adaptive PID controller based on VIENNA rectifier

After establishing the Vienna rectifier mathematical model, we set the PID parameters through the intelligent algorithm to overcome the poor effect of the traditional voltage and current double closed loop PI controller when it encountered disturbance. In this paper, the single neuron adaptive PID controller is used to control the DC side voltage so that the output voltage can suppress the disturbance. The current inner loop uses a fuzzy-PI controller to control the current component in the dq coordinate system so that the current can quickly respond to disturbance when the load is disturbed and track the voltage of the grid.