| The inverter is used widely in society. With the rapid development of power electronics technology, a large amount of high-frequency switching equipment are appeared which provide the guarantee for the inverter's application in all kinds of fields. The inverter's main circuit discussed in this paper adopts the three-phase bridge structure. In terms of controller strategy, the traditional method of SPWM has the setback which is lower electric source utilization ratio. SVPWM is a kind of optimized method, it can reduce the output current's harmonic component and improve the electric source utilization ratio, having the trend of replacing the traditional SPWM method, this paper just adopts the SVPWM as the controller strategy.This paper firstly introduces the power electronics technology and inverter's corresponding knowledge, and the paper deeply researches the work's principle of the SVPWM and establishes the inverter's simulation model based on the arithmetic of SVPWM, achieved the simulation result. And then this paper puts forward the inverter's imagination based on neural network, when calculating the three-phase times, the paper uses a three-layer forward-feed network, adoptes the arithmetic of Levenberg-Marquarde to train the network. At last, in the environment of MATLAB/Simulink, the paper makes the simulation research to the system, the simulation results shows that the method of SVPWM based on neural network is feasible and it can achieve the anticipated effect, at the same time by using the neural network rationally, the method can enhance the PWM frequency and reduce the harmonic of output voltage. |
