Our Fo­cus Areas

Power Elec­tron­ics

• Fast-switching inverters
• Converter optimization
• Control and modulation
techniques
• Application fields:
• Automotive
• Industry
• Datacenters

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Mag­net­ic Com­pon­ents

• Measurement and modelling of
soft-magnetic materials
• Investigation of innovative
design concepts
• Implementation & testing of
prototypes

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In­vert­er-Dom­in­ated Grids

• Future grid forming inverters
• Model predictive control
• Reinforcement learning control

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Drive Con­trol

• Data and model based optimal
control
• Systemidentification
• Real-time implementation and
validation

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Pub­lic­a­tion:

Optimal Control of Voltage-Forming Grid Inverters by Model Predictive Control and Reinforcement Learning

D. Weber, D. Schmies, J.H. Lange, M. Schenke, O. Wallscheid, IEEE Access 14 (2026) 38517–38535.

DOI

Reinforcement Learning-Based Control of Voltage-Forming Grid Inverters With Arbitrary Loads

D. Weber, J. Lange, O. Wallscheid, IEEE Journal of Emerging and Selected Topics in Industrial Electronics (2026) 1–12.

DOI

Reinforcement Learning: A Comprehensive Open-Source Course

A.H.A. Abdelwanis, B. Haucke-Korber, D. Jakobeit, W. Kirchgässner, M. Meyer, M. Schenke, H. Vater, O. Wallscheid, D. Weber, Journal of Open Source Education 9 (2026).

DOI

Adaptive DC-Link Voltage Control for 22 kW, 40 kHz LLC Resonant Converter Considering Low-Frequency Voltage Ripple

R. Unruh, J. Böcker, F. Schafmeister, Electronics 14 (2025).

DOI

Three-Phase Instantaneous Current Controller for Unbalanced Grid Inductors Without DQ Transform for Cascaded H-Bridge Converters

R. Unruh, J. Böcker, F. Schafmeister, in: 2025 Energy Conversion Congress &Amp; Expo Europe (ECCE Europe), IEEE, 2025.

DOI

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Power Electronics and Electrical Drives

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