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

doi:10.1109/MIE.2013.2294870

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 journal › Article › peer-review

224 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 language	English
Article number	6775362
Pages (from-to)	44-52
Number of pages	9
Journal	IEEE Industrial Electronics Magazine
Volume	8
Issue number	1
DOIs	https://doi.org/10.1109/MIE.2013.2294870
Publication status	Published - Mar 2014
Externally published	Yes

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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.",

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

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