A novel FPGA implementation of a model predictive controller for SiC-based Quasi-Z-Source inverters

Mostafa Mosa, Gamal M. Dousoky, Haitham Abu-Rub

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationAPEC 2014 - 29th Annual IEEE Applied Power Electronics Conference and Exposition
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1293-1298
Number of pages6
ISBN (Print)9781479923250
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event29th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2014 - Fort Worth, TX, United States
Duration: Mar 16 2014Mar 20 2014

Publication series

NameConference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC

Conference

Conference29th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2014
CountryUnited States
CityFort Worth, TX
Period3/16/143/20/14

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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