Wireless power transmission based on neural network predictive control

This paper analyzes the structure and work flow of the infinite power transmission system, establishes the circuit mathematical model of the wireless power transmission system, and deduces its resonance frequency expression. Aiming at the maximum current in the coupling state of the system, a combination of neural network predictive control and bang bang control is proposed to make the working frequency of the system work in resonance state, maximize the load power and transmission efficiency of the system, and enhance the stability of the system. The system is simulated by Matlab/Simulink, and the feasibility of the theory is verified.