Comparison Between PI and Neural Network Controller for Dual Active Bridge Converter

被引：11

作者：

Bindi, Marco ^{[1
]}

Garcia, Carlos Iturrino ^{[1
]}

Corti, Fabio ^{[2
]}

Piccirilli, Maria Cristina ^{[1
]}

Luchetta, Antonio ^{[1
]}

Grasso, Francesco ^{[1
]}

Manetti, Stefano ^{[1
]}

机构：

[1] Univ Florence, Dept Informat Engn, Florence, Italy

[2] Univ Perugia, Dept Ind Engn, Perugia, Italy

来源：

2021 IEEE 15TH INTERNATIONAL CONFERENCE ON COMPATIBILITY, POWER ELECTRONICS AND POWER ENGINEERING (CPE-POWERENG) | 2021年

关键词：

DC-DC power converter; Dual Active Bridge; Model Reference Control; PI controller; Neural Networks;

D O I：

10.1109/CPE-POWERENG50821.2021.9501168

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this paper a comparison is presented between two strategies for the control of a Dual Active Bridge (DAB) converter regulated through Single Phase Shift (SPS) modulation. The purpose of the controller is to regulate the phase-shift between the voltage impressed to the inductor from the primary and the secondary converter to obtain the desired output current. To achieve this goal, two control strategies based on different approaches are proposed. The first one performs the regulation using a Proportional-Integral (PI) controller, while the second one, called Model Reference Control (MRC), performs the regulation through Neural Networks ( NN). The obtained results show that the Artificial Intelligence (AI) based technique has comparable reference current tracking performance and better dynamic characteristics. Furthermore, this technique does not require the mathematical model of the converter and can be used in a wider range of operating conditions.

引用

页数：6

共 14 条

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