Investigation of Conducted Electromagnetic Disturbances in Power Electronics: A Case Study on DC/DC Choppers

Authors

  • Mohammed Elamine Lahlaci University Ahmed Zabana of Relizane image/svg+xml Author
  • Mohamed Miloudi University Ahmed Zabana of Relizane image/svg+xml Author
  • Houcine Miloudi Djillali Liabes University Sidi Bel Abbès image/svg+xml Author
  • Mohammed Hamza Bermaki Djillali Liabes University Sidi Bel Abbès image/svg+xml Author
  • Kheira Mendaz Université de ain Témouchent image/svg+xml Author
  • Abdelkader Gourbi Université Oran 1 Ahmed Ben Bella image/svg+xml Author

DOI:

https://doi.org/10.55549/epstem.1204

Keywords:

Electromagnetic compatibility EMC, Electromagnetic disturbances EMD, Choppers DC/DC, Conducted common-mode disturbances CM, Machine learning techniques

Abstract

Power electronics systems play a key role in modern industrial applications, particularly in motor drives and automation systems. Among the most widely used devices, static converters—especially DC/DC choppers—enable precise control of voltage and power while ensuring high energy efficiency. These converters are essential for adapting voltage levels to the specific needs of loads, thereby providing stable and optimized power supply across various industrial environments. However, these converters are also significant sources of electromagnetic disturbances (EMD), both conducted and radiated, which can compromise the electromagnetic compatibility (EMC) of systems. Conducted common-mode disturbances, in particular, pose a major challenge in industrial settings, where equipment density increases susceptibility to interference. In this context, the present study focuses on the experimental analysis of conducted common-mode EMD generated by a series DC/DC chopper. Accurate measurements are carried out using appropriate instrumentation to characterize waveform shapes, dominant frequencies, and disturbance levels. The aim is to identify operating conditions that exacerbate these emissions and to better understand the underlying mechanisms. To deepen the analysis, machine learning techniques are employed to model the disturbances based on experimental data. The developed predictive models estimate the influence of the chopper’s operating parameters on electromagnetic emissions and help propose mitigation strategies through optimized control and design parameters. The results contribute to the development of cleaner converters that meet EMC requirements without compromising electrical performance. This approach enhances the reliability and robustness of power electronics systems in demanding industrial environments.

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Published

2025-12-30

How to Cite

Investigation of Conducted Electromagnetic Disturbances in Power Electronics: A Case Study on DC/DC Choppers. (2025). The Eurasia Proceedings of Science, Technology, Engineering and Mathematics, 38, 81-89. https://doi.org/10.55549/epstem.1204