Compound Control Strategy of Three-phase PWM Rectifier Based on Fuzzy Neural Network PID

In this paper, based on the working principle of three-phase PWM rectifier, the mathematical model is constructed in αβ coordinate system, and the SVPWM technique is used to modulate. In order to solve the problem of serious harmonic pollution and low power factor of three-phase PWM rectifier connected to the power grid, a compound structure control strategy based on fuzzy control and BP neural network is proposed in this paper, and the control mode of input system is adjusted when the feedback quantity changes by setting the scale factor. This control method makes the system respond faster and overshoot decrease, showing excellent control efficiency and better stability.