Name: ADRIANO FAZOLO NARDOTO
Publication date: 20/05/2025
Examining board:
Name |
Role |
|---|---|
| BUENO PEÑA EMILIO JOSÉ | Coorientador |
| CASSIANO RICARDO RECH | Examinador Externo |
| DENIZAR CRUZ MARTINS | Examinador Externo |
| DOMINGOS SAVIO LYRIO SIMONETTI | Examinador Interno |
| LUCAS FRIZERA ENCARNACAO | Coorientador |
Pages
Summary: This thesis addresses the development of model predictive control (MPC) strategies for application in DAB (Dual Active Bridge) converters, focusing on high-complexity applications that require real-time processing, particularly in multilevel topologies and systems with a large number of switching states. Two approaches were investigated. The first focused on the modular application of the DAB converter, evaluating power distribution among multiple converters connected in parallel on a low-voltage DC bus (LVDC). This topology was experimentally tested on a test bench developed at the Power Electronics and Electric Drives Laboratory (LEPAC) of the Federal University of Espírito Santo. The second approach aimed to increase the efficiency of the DAB converter through advanced modulation techniques, such as triangular and trapezoidal modulations, optimizing the converter’s operation under light load conditions. This technique was experimentally tested on the DAB using the ANPC (Active Neutral Point Clamped) multilevel topology. The test bench was developed at the Energy, Electrical Systems Engineering, and Smart Grids Group (GEISER) of the University of Alcalá de Henares.
