Z-source Inverter Based on RBF Neural Network for Grid-connected PV System

The small-signal modeling of the Z-source inverter photovoltaic grid-connected system is established.A new method for space vector pulse width modulation(SVPWM) based on radial basis function(RBF) neural network is proposed and used for Z-source inverter.It is shown that the new method can be researched through Matlab simulation experiments.And then the Z-source inverter strategy based on RBF-SVPWM neural network is used in photovoltaic grid-connected system.The accuracy and feasibility of the design are verified by experiment.