Output Waveform Control of Single-Phase Inverter Based on Neural Network Internal Model Theory[J]. Acta Electronica Sinica, 2012, 40(7): 1345-1350.
DOI:
Output Waveform Control of Single-Phase Inverter Based on Neural Network Internal Model Theory[J]. Acta Electronica Sinica, 2012, 40(7): 1345-1350. DOI: 10.3969/j.issn.0372-2112.2012.07.010.
Output Waveform Control of Single-Phase Inverter Based on Neural Network Internal Model Theory
The quality of output waveform is one important factor for the single-phase inverter.This paper proposed the algorithm based on neural network internal model theory
which is used for an output sine waveform control.Based on this control algorithm
two back propagation estimate neural networks were established.One is the internal model of single-phase inverter
which is used to estimate the actual output waveform.The other one is used to make the internal model to fit the actual single-phase inverter due to the estimate error.We finished the simulation and experiment
where the algorithm was proved that it could improve the output waveform quality and load compatibility.