Software Environment for Automated Experiments with DC/DC Converters

The paper details the architecture of an automated measurement system application developed in Python. It leverages packages such as PyVISA, Pandas, and PyQt6 for its graphical user interface. The application is utilized in power electronics to measure the efficiency of DC/DC converters. The structure and key functions of the virtual instrument's code are presented and analyzed. Notable features include real-time plotting of results, safety feature buttons in the GUI for critical situations, a faster and more flexible measurement setup, and multi-platform compatibility, thanks to the use of open-source software.

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Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1109/comsci63166.2024.10778515
Primary Topic
Fault Detection and Control Systems
Type
article
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article

Software Environment for Automated Experiments with DC/DC Converters

Nikolay Lyuboslavov Hinov, Tsveti Hranov, Anton A. Dekov
Fault Detection and Control Systems
article

Software Environment for Automated Experiments with DC/DC Converters

Nikolay Lyuboslavov Hinov, Tsveti Hranov, Anton A. Dekov
article en

Abstract

The paper details the architecture of an automated measurement system application developed in Python. It leverages packages such as PyVISA, Pandas, and PyQt6 for its graphical user interface. The application is utilized in power electronics to measure the efficiency of DC/DC converters. The structure and key functions of the virtual instrument's code are presented and analyzed. Notable features include real-time plotting of results, safety feature buttons in the GUI for critical situations, a faster and more flexible measurement setup, and multi-platform compatibility, thanks to the use of open-source software.

Technical University of Sofia (BG)
Openalex Percentile: Top 73%
Fault Detection and Control Systems
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