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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...
The basic principle of space vector PWM is analyzed, and a novel algorithm for SVPWM based on neural network is proposed. This neural network SVPWM controller completely covers the under-modulation and over-modulation linearly extending operation smoothly up to the six-step mode. The neural network controller has the advantage of very fast implementation by using SVPWM algorithm, and it can increase...
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