Output Voltage Control of a Synchronous Buck DC/DC Converter Using Artificial Neural Networks

This article presents a neural network-based control method for maintaining the required output voltage of a synchronous buck converter. The goal was to replace a traditional PID controller with a neural network that calculates the duty cycle based on real-time data. Several versions of the neural network were tested. The final version, which included the input voltage, reference, and output current as inputs and compensated for dead time, was successfully validated on real hardware. It was able to respond to changes in load and input voltage within a limited operating range.

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Publication Details

Journal
Algorithms
Published
2025-09-02
DOI
https://doi.org/10.3390/a18090555
Primary Topic
Advanced DC-DC Converters
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Output Voltage Control of a Synchronous Buck DC/DC Converter Using Artificial Neural Networks

Roman Koňarik, Peter Klčo, Slavomír Kaščák, Michal Praženica et al.
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Advanced DC-DC Converters
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Output Voltage Control of a Synchronous Buck DC/DC Converter Using Artificial Neural Networks

Roman Koňarik, Peter Klčo, Slavomír Kaščák, Michal Praženica, Juraj Šimko
article en

Abstract

This article presents a neural network-based control method for maintaining the required output voltage of a synchronous buck converter. The goal was to replace a traditional PID controller with a neural network that calculates the duty cycle based on real-time data. Several versions of the neural network were tested. The final version, which included the input voltage, reference, and output current as inputs and compensated for dead time, was successfully validated on real hardware. It was able to respond to changes in load and input voltage within a limited operating range.

AlgorithmsVol. 18(9)
University of Žilina (SK)
Agentúra na Podporu Výskumu a Vývoja
Openalex Percentile: Top 78%
Advanced DC-DC Converters
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