Simulation And Implementation Of Control Method Of Micro Inverter Based On Inverse Model

Inverter system is a complex nonlinear control system,accurate modeling is crucial to the promotion of inverter control effect.Compared with the traditional modeling methods,the inverse model is set up,and not before the endless search for the inverter in the process of deep laws,but with the model of inverse to deal with things that is happening.Not starting from the basic principle,it is based on facts,from a large number of actual data reveals the variables in the process of inverter.This paper starts with the development of the photovoltaic industry and analyzes the current development status of the photovoltaic industry and the domestic and foreign research results of the inverter industry.Then the simulation model of the micro inverter is constructed by analyzing the topology and working principle of the micro inverter.Based on the theory of research system and inverse model,the inverse control strategy of neural network and support vector machine algorithm is established respectively,and the parallel network model and island simulation model are constructed respectively.In the case of parallel network,the parallel network current of two control methods is analyzed and compared.The voltage current waveform of SVM inverse control and BP inverse control method are analyzed and compared with THD of current.Inverse model of the input contains the current moment voltage value,current moment photovoltaic panels voltage value,current moment PWM control signal duty ratio,the current moment of current value,current value of the next moment,a moment of the PWM duty ratio as the input data,output for the next moment the duty ratio signal.Through a large amount of experimental data,the intelligent algorithm is trained to obtain good performance of optimization,thus obtaining good contravariant performance.Finally,the RTL implementation of FPGA is carried out by using the simulation control effect better support vector machine,and the calculation result is compared with the simulation data to verify the realization effect.