Balance control system of grid connected inverter circuit based on the improved particle swarm optimization algorithm

In order to improve the control efficiency of grid connected inverter circuit, this paper designs a grid connected inverter circuit balance control system based on improved particle swarm optimization algorithm. In terms of hardware, the signal acquisition and conditioning circuit is designed according to the basic electrical parameters of the grid connected inverter circuit balance control system. In the aspect of software, an adaptive fuzzy controller is designed to search the circuit signal based on the improved particle swarm optimization algorithm, and the balance control strategy of grid connected inverter circuit is set to realize the balance control of grid connected inverter circuit. Three test environments are set up in the simulation experiment, which is compared with the traditional grid connected inverter circuit balance control. The experimental results show that the improved particle swarm optimization algorithm can get the optimal solution in a short time, and improve the real-time response performance of the system.