基于反向传播人工神经网络算法的电压控制

J. Ramírez-Hernández, O. Juarez-Sandoval, L. Hernández-González, Abigail Hernandez-Ramirez, Raul-Sebastian Olivares-Dominguez
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引用次数: 4

摘要

本文提出了一种基于人工神经网络的电压控制器。它的在线学习反向传播算法允许根据期望的参考输出电压调节输出电压。为了验证所提出的控制器按设计工作,在Matlab软件中对三种基本的DC-DC转换器:降压、升压和降压-升压拓扑进行了数值验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Voltage Control Based on a Back-Propagation Artificial Neural Network Algorithm
In this paper a voltage controller based on an Artificial Neural Network (ANN) is presented. Its online learning back-propagation algorithm allows the output voltage regulation according to a desired reference output voltage. To verify that the proposed controller operates according to the design, a numerical verification in Matlab software is presented for three basic DC-DC converters: buck, boost and buck-boost topologies.
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