Biography

Pericle Zanchetta M 00, SM 15, F 19,
received his MEng degree in Electronic Engineering and his Ph.D. in Electrical Engineering from the Technical University of Bari (Italy) in 1993 and 1997 respectively. In 1998 he became Assistant Professor of Power Electronics at the same University. In 2001 he became lecturer in the PEMC research group at the University of Nottingham – UK, where he became Professor in Control and Power Electronics in 2013. From 2022 he is full professor of Power Electronics at the University of Pavia, Italy and part time professor at the University of Nottingham. He has published over 400 peer reviewed scientific papers. Professor Zanchetta is Vice-President of the IEEE Industry Application Society (IAS) 2025-2026, member of the board of directors of the IEEE IAS and Editor in Chief of the IEEE Open Journal of Industry Applications since 2020. He was IEEE-IAS Education Department chair 2022-2024. He was vice-chair and Chair of the IEEE IAS Industrial Power Conversion Systems Department (2018-2021) and secretary, vice chair and Chair of the IEEE IAS Industrial Power Converters Committee (2012-2017). His research interests include control and optimization of power converters and drives, Matrix and multilevel converters.

CV

Projects

Innovative 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.

Multilevel Converters for High Power Applications and Medium Voltage Drives

Multilevel Converters for High Power Applications and Medium Voltage Drives

Modeling, 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.

Fault Detection and Location in Power Converters with a High Number of Switches using Deep Learning

This research topic explores novel approaches in fault diagnostic techniques using DL for power converters with a large number of switches, like multilevel converters, to develop efficient and effective approaches for improved overall system reliability.

Double-Stage 5 kW Charger for Vanadium Redox Flow Batteries

Study, design, and development of a power converter optimized for grid integration of Vanadium Redox flow batteries

Advanced Model Predictive Control for Electrical Drives and Power Electronics Converters

Advanced Model Predictive Control for Electrical Drives and Power Electronics Converters

Isolated DC/DC LLC resonant GaN converter for motor sport applications

The study investigates an ISOP LLC resonant converter using GaN transistors for high-efficiency, high–power-density dc-dc conversion. It also analyzes module mismatches and employs a genetic algorithm to optimize losses, transformer volume, and efficiency

Grid Active Node for DC Electrical Systems (GRAND)

Development of innovative multi-port power conversion systems for DC microgrids that enable seamless integration of Distributed Energy Resources and Storage into the Internet of Energy: focus on advanced control, optimized design, and remote operability.

Intelligent, Modular and Adaptive Power Conversion Technology for Battery Energy Storage Systems

Developing of Intelligent Battery Modules (IBMs) to replace traditional battery packs and converters, forming a DC/AC multilevel converter to optimize energy delivery and system integration across various battery chemistries.

Digital 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

Enhanced 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

Solid 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.

Design 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

Design 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.

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.

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