Based on RBF Neural Network Adaptive Sliding Mode Shore Power Grid-connected Control Strategy

Abstract

In order to solve the Instability of uninterrupted ship power connect to shore power and increase shore power usage, this paper adopts a strategy called RBF neural network adaptive sliding mode control. It can improve the large error of the traditional sliding mode control. The strategy adopted can suppress the occurrence of large disturbance of the system and improve the stability of the grid-connected inverter output during the process of grid connection. The simulation model is built in MATLAB/SIMULINK. Under the condition of low voltage 440V, the simulation results are compared with the results of traditional sliding mode control without RBF neural network. It verifies the effectiveness of sliding mode control and enhances its reliability.