Master Thesis Online
Master thesis : Power converter harmonics reduction with an AI controller
Keutgen, Benjamin 
Promotor(s) :
Frebel, Fabrice
;
Louppe, Gilles
Date of defense : 29-Jun-2026/30-Jun-2026 • Permalink : http://hdl.handle.net/2268.2/26107
Details
| Title : | Master thesis : Power converter harmonics reduction with an AI controller |
| Translated title : | [fr] Réduction des harmoniques d'un convertisseur de puissance par un contrôleur IA |
| Author : | Keutgen, Benjamin
|
| Date of defense : | 29-Jun-2026/30-Jun-2026 |
| Advisor(s) : | Frebel, Fabrice
Louppe, Gilles
|
| Committee's member(s) : | Bidaine, Benoît
Drion, Guillaume
|
| Language : | English |
| Number of pages : | 91 |
| Keywords : | [en] electronic power converter [en] control [en] AI [en] deep learning [en] harmonic |
| Discipline(s) : | Engineering, computing & technology > Electrical & electronics engineering |
| Target public : | Researchers Professionals of domain Student General public Other |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Degree: | Master : ingénieur civil électricien, à finalité spécialisée en Neuromorphic Engineering |
| Faculty: | Master thesis of the Faculté des Sciences appliquées |
Abstract
[en] This master’s thesis, carried out as part of an internship at CE+T Power, aims to develop an AI controller and to assess to what extent it can effectively reduce the harmonic distortion produced by a power converter connected to the main electrical grid, a challenging task at the intersection of signal processing, control theory, power electronics and artificial intelligence…
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