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For parallel operation of electric network it need to control the current to be in phase with the electric network voltage. This paper presents a control method of phase tracking based on artificial neural network. After comparing the simulation results between BP network and RBF network, it takes the algorithm of RBF network into phase locked loop. It takes the electric network voltage as the expected...
A new complete RBF neural network SVPWM controller scheme for a grid-connected inverter is presented in this paper, RBF network architecture and the parameter is determined by using the clustering method, the RBF neural network which is simplifies and realize voltage space vector modulate to control the inverter. It was used in three-phase photovoltaic grid-connected inverse system which adopts control...
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