Assessing finite-control-set model predictive control: A comparison with a linear current controller in two-level voltage source inverters

Hector A. Young, Marcelo A. Perez, Jose Rodriguez, Haitham Abu-Rub

Research output: Contribution to journalArticle

102 Citations (Scopus)

Abstract

Model predictive control (MPC) methods for applications in power converters have received considerable attention in recent years. The idea behind MPC is to use a mathematical model of the system to predict its future behavior within a predefined time. An optimization problem that includes the control objectives, the predicted variables, and possible constraints of the system is solved, yielding the control actions to be applied.

Original languageEnglish
Article number6775362
Pages (from-to)44-52
Number of pages9
JournalIEEE Industrial Electronics Magazine
Volume8
Issue number1
DOIs
Publication statusPublished - 2014

Fingerprint

Model predictive control
Controllers
Electric potential
Power converters
Mathematical models

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Cite this

Assessing finite-control-set model predictive control : A comparison with a linear current controller in two-level voltage source inverters. / Young, Hector A.; Perez, Marcelo A.; Rodriguez, Jose; Abu-Rub, Haitham.

In: IEEE Industrial Electronics Magazine, Vol. 8, No. 1, 6775362, 2014, p. 44-52.

Research output: Contribution to journalArticle

@article{cda9f9154e774e2cadd6e3f481d69431,
title = "Assessing finite-control-set model predictive control: A comparison with a linear current controller in two-level voltage source inverters",
abstract = "Model predictive control (MPC) methods for applications in power converters have received considerable attention in recent years. The idea behind MPC is to use a mathematical model of the system to predict its future behavior within a predefined time. An optimization problem that includes the control objectives, the predicted variables, and possible constraints of the system is solved, yielding the control actions to be applied.",
author = "Young, {Hector A.} and Perez, {Marcelo A.} and Jose Rodriguez and Haitham Abu-Rub",
year = "2014",
doi = "10.1109/MIE.2013.2294870",
language = "English",
volume = "8",
pages = "44--52",
journal = "IEEE Industrial Electronics Magazine",
issn = "1932-4529",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",

}

TY - JOUR

T1 - Assessing finite-control-set model predictive control

T2 - A comparison with a linear current controller in two-level voltage source inverters

AU - Young, Hector A.

AU - Perez, Marcelo A.

AU - Rodriguez, Jose

AU - Abu-Rub, Haitham

PY - 2014

Y1 - 2014

N2 - Model predictive control (MPC) methods for applications in power converters have received considerable attention in recent years. The idea behind MPC is to use a mathematical model of the system to predict its future behavior within a predefined time. An optimization problem that includes the control objectives, the predicted variables, and possible constraints of the system is solved, yielding the control actions to be applied.

AB - Model predictive control (MPC) methods for applications in power converters have received considerable attention in recent years. The idea behind MPC is to use a mathematical model of the system to predict its future behavior within a predefined time. An optimization problem that includes the control objectives, the predicted variables, and possible constraints of the system is solved, yielding the control actions to be applied.

UR - http://www.scopus.com/inward/record.url?scp=84897073016&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84897073016&partnerID=8YFLogxK

U2 - 10.1109/MIE.2013.2294870

DO - 10.1109/MIE.2013.2294870

M3 - Article

AN - SCOPUS:84897073016

VL - 8

SP - 44

EP - 52

JO - IEEE Industrial Electronics Magazine

JF - IEEE Industrial Electronics Magazine

SN - 1932-4529

IS - 1

M1 - 6775362

ER -