NDLI: The parallel control of single-phase inverters based on BP neural network

Content Provider	IEEE Xplore Digital Library
Author	Shuo Yang Zhiyuan Qi Tong Wen
Copyright Year	2015
Description	Author affiliation: Coll. of Electron. Inf. Eng., Inner Mongolia Univ., Hohhot, China (Shuo Yang; Zhiyuan Qi; Tong Wen)
Abstract	In order to improve the output waveform quality and reduce the circulation of current in parallel inverter system, droop control that is combined with double loop control is used, and two BP neural network controllers are proposed to control the designed inverter in this paper. One BP neural network control the outer-loop part of voltage to obtain stable current reference value, and the other BP neural network control the inner-loop part of current to achieve the output voltage with sinusoidal wave. A simulation studies based on Matlab is done, and by comparing the results of different capacities and load conditions based on BP neural network controller. The result shows that the designed parallel inverter system with the BP neural network controller can have a small circulation and quick adjustable speed. So the suggested control strategy can satisfy the requirement of performance and reliability for the parallel inverter system.
Starting Page	1428
Ending Page	1431
File Size	941510
Page Count	4
File Format	PDF
e-ISBN	9781467371896
DOI	10.1109/CAC.2015.7382723
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radio frequency BP neural network Software packages Parallel inverter Droop control Reliability
Content Type	Text
Resource Type	Article

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