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.
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页数：6
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