SiC MOSFET-Based Power Supply for high-current applications
Proper design of electrical converters is essential for applications requiring precise current control, especially in high-current (tens of kiloamperes) systems used for generating strong magnetic fields in plasma confinement or particle acceleration.
Go to projectModeling, Control and Stability of Power Electronics Based Power Systems
Each power converter in modern power grids has local intelligence, control and filters: the complex interactions between them require advanced stability assessment methods and global control design methods.
Go to projectDesign and implementation of an Electronic Load for Emulating Frequency-Dependent Impedances in the Vertical Stabilization Coils of the Divertor Tokamak Test Facility
The study will focus on investigating Power Hardware-in-the-Loop (PHIL) and Load Emulators (LE) for high-current applications. It will aim to identify DUT testing requirements and analyze gaps in literature.
Go to projectMultilevel Converters for High Power Applications and Medium Voltage Drives
Multilevel Converters for High Power Applications and Medium Voltage Drives
Go to projectDesign control and implementation of an LLC resonant converter using GaN technology
Design and implementation of a ISOP LLC resonant converter to test, at a real application system level, the use of GaN devices versus traditional technology and to investigate novel solutions for drivers, overcurrent protections and control
Go to projectInnovative methods for impedance estimation using artificial intelligence
Develop an LSTM-based model to estimate grid impedance dynamically. Learned nonlinear grid behavior from operational data without explicit equations. Improves converter control stability and fault resilience.
Go to projectSolid State Transformers for next generation AI server stations
Development of a multi-port Solid-State Transformer (SST) system working as a key power interface between the medium-voltage (MV) grid and low voltage (LV) critical server infrastructure, with multiple DC output voltage levels.
Go to projectEnhanced STATCOM wiith Supercap: Design, Control and Real Time Simulator for Hardware In the Loop Test
Enhanced STATCOM wiith Supercap: Design, Control and Real Time Simulator for Hardware In the Loop Test
Go to projectDigital Twin of Power Electronics Converters using Artificial Neural Networks
Build a virtual–physical loop for CHB and DAB converters to enable predictive maintenance. Integrated sensor data, neural models, and feedback control in real time. Supports AI-driven reliability enhancement and fault prevention
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