Voltage Control Based on a Back-Propagation Artificial Neural Network Algorithm

被引：1

作者：

Ramirez-Hernandez, Jazmin ^{[1
]}

Juarez-Sandoval, Oswaldo-Ulises ^{[1
]}

Hernandez-Gonzalez, Leobardo ^{[1
]}

Hernandez-Ramirez, Abigail ^{[1
]}

Olivares-Dominguez, Raul-Sebastian ^{[1
]}

机构：

[1] Inst Politecn Nacl, ESIME Culhuacan, Ciudad De Mexico, Mexico

来源：

PROCEEDINGS OF THE XXII 2020 IEEE INTERNATIONAL AUTUMN MEETING ON POWER, ELECTRONICS AND COMPUTING (ROPEC 2020), VOL 4 | 2020年

关键词：

Artificial Neural Network; voltage control; Buck; Boost; Buck-Boost; PWM;

D O I：

10.1109/ropec50909.2020.9258699

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页数：6

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