CPT system with multiple soft-switch operating point control of particle swarm optimization BP neural network

We take primary edge of LCL and secondary edge series resonant CPT system as the research object and design BP neural network controller based on the power transmission characteristic differences of the CPT system with multiple soft-switch operating points. The system can switch back and forth between multiple soft-switch operating points according to error feedback information, so that effective power control can be achieved. For some defects such as long convergence time and easily falling into partial minimum, Particle Swarm Optimization is applied to optimize BP network weights for the improvement of BP network controller. The simulation results show that it not only accelerate the convergence process of BP, but also improve training and inspection accuracy of BP neural network. It not only satisfy the control requirements of CPT system, but also satisfy the working conditions of the soft switches. Higher transmission efficiency can be achieved.