Feasibility Study of Model Predictive Control for Grid-Connected Twisted Buck-Boost Inverter

Matiushkin, Oleksandr; Husev, Oleksandr; Rodriguez, Jose; Young, Hector; Roasto, Indrek

Abstract

This article studies the model predictive control (MPC) for a twisted buck-boost inverter based on unfolding circuit. The focus is on the practical implementation of the MPC algorithm for the microcontroller designed for application in power electronics. Selection of proper cost function parameters along with a continuous control set reduced prediction horizon, at the same time keeping good quality of the grid current. The results showed that simplified differential equations and a multicore microcontroller contribute to the sample time reduction, which in turn increases the sampling frequency with the corresponding increase in the output current quality. The simulation and experimental results confirmed theoretical predictions. In conclusion, the MPC technique suits for reducing zero-crossing distortion and in applications based on unfolding circuit.

Más información

Título según WOS: Feasibility Study of Model Predictive Control for Grid-Connected Twisted Buck-Boost Inverter
Título de la Revista: IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volumen: 69
Número: 3
Editorial: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Fecha de publicación: 2022
Página de inicio: 2488
Página final: 2499
DOI:

10.1109/TIE.2021.3068663

Notas: ISI