@inproceedings{03e16a032757450e9be53f7521135137,
title = "A novel FPGA implementation of a model predictive controller for SiC-based Quasi-Z-Source inverters",
abstract = "This paper proposes a novel implementation of an FPGA-Based Model Predictive Control (MPC) for a SiC Quasi-Z-Source inverter. To speed-up computations, to satisfy the control requirements and to increase the switching frequency, an MPC algorithm is designed for parallel processing and is implemented on an FPGA. This is suitable for high-sampling/switching frequency operation that enables the use of MPC in fast systems as SiC-based converters. Proposed concepts are simulated by MATLAB Simulink and are experimentally validated using a three-phase SiC-based Quasi-Z-Source inverter. Both of simulation and experimental results show that the proposed FPGA-based controller attains a good performance at a very small calculation time, comparable to that consumed by conventional MPC sequential implementations.",
keywords = "FPGA implementation, Model predictive control, Parallel processing, Quasi-Z-Source Inverter (qZSI)",
author = "Mostafa Mosa and Dousoky, {Gamal M.} and Haitham Abu-Rub",
year = "2014",
doi = "10.1109/APEC.2014.6803473",
language = "English",
isbn = "9781479923250",
series = "Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1293--1298",
booktitle = "APEC 2014 - 29th Annual IEEE Applied Power Electronics Conference and Exposition",
address = "United States",
note = "29th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2014 ; Conference date: 16-03-2014 Through 20-03-2014",
}