Study of magnetic saturation in a boost converter: modeling and nonlinear control

This paper investigates a large-signal model for a boost DC-DC converter with a nonlinear controller, considering the nonlinear magnetic characteristics of the inductor that might affect system stability. The converter is designed with an optimized inductor core for space-constrained applications where output voltage quality is less critical, such as wind turbine kites and wave energy generators. Traditional linear controllers may underperform due to inductor nonlinearity. This study investigates the impact of magnetic saturation on the system's performances using a trajectory controller and shows that neglecting these effects degrades control performance. Under unmatched conditions on inductance’s value, the eigenvalues of the controlled system change. The simulation results align with the system's eigenvalues by explicitly incorporating the inductor's nonlinear characteristics, confirming the model's accuracy.

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Publication Details

Published
2025-03-05
DOI
https://doi.org/10.1109/ieecon64081.2025.10987855
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Study of magnetic saturation in a boost converter: modeling and nonlinear control

Roghayeh Gavagsaz‐Ghoachani, Wiset Saksiri, Nitchamon Poonnoy, Matheepot Phattanasak et al.
Electric Motor Design and Analysis
article

Study of magnetic saturation in a boost converter: modeling and nonlinear control

Roghayeh Gavagsaz‐Ghoachani, Wiset Saksiri, Nitchamon Poonnoy, Matheepot Phattanasak, Serge Pierfederici
article en

Abstract

This paper investigates a large-signal model for a boost DC-DC converter with a nonlinear controller, considering the nonlinear magnetic characteristics of the inductor that might affect system stability. The converter is designed with an optimized inductor core for space-constrained applications where output voltage quality is less critical, such as wind turbine kites and wave energy generators. Traditional linear controllers may underperform due to inductor nonlinearity. This study investigates the impact of magnetic saturation on the system's performances using a trajectory controller and shows that neglecting these effects degrades control performance. Under unmatched conditions on inductance’s value, the eigenvalues of the controlled system change. The simulation results align with the system's eigenvalues by explicitly incorporating the inductor's nonlinear characteristics, confirming the model's accuracy.

Centre National de la Recherche Scientifique (FR), Laboratoire Énergies et Mécanique Théorique et Appliquée (FR), Shahid Beheshti University (IR), King Mongkut's University of Technology North Bangkok (TH), Université de Lorraine (FR)
Innovation Fund
Affordable and clean energy
Openalex Percentile: Top 92%
Electric Motor Design and Analysis
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