A Robust Model Predictive Control For Grid-Connected Voltage-Source Inverters

Author

Judewicz, M.G. ; Fischer, J.R. ; Herran, Mario A. ; Gonzalez, S.A. ; Carrica, D.O.

Author_Institution

Univ. Nac. de Mar del Plata, Buenos Aires, Argentina

Volume

11

Issue

1

fYear

2013

fDate

Feb. 2013

Firstpage

27

Lastpage

33

Abstract

Model predictive control is a new alternative in the control of power converters. The practical application of this controller demands a correct compensation of the computation delay. This compensation requires an estimation of the load current, usually attained in an open-loop manner, i. e. without error feedback of the model parameters. However, this strategy gives rise to diverse perturbations in the waveform, when there is a certain amount of parameter variation. In this work, the effects of this variation are analyzed and a way to reduce the distortion is proposed, using a Luenberger observer. This new approach is called Robust Model Predictive Control. The proposal is applied to a grid-connected voltage-source inverter. To validate the proposal, simulations are included in the paper.

Keywords

invertors; nonlinear control systems; observers; power grids; predictive control; robust control; Luenberger observer; computation delay; grid-connected voltage source inverters; parameter variation; power converters; robust model predictive control; Computational modeling; Integrated circuit modeling; Inverters; Predictive control; Predictive models; Robustness; Voltage control; nonlinear control; parameter variation; predictive control; state observers; voltage source inverter;

fLanguage

English

Journal_Title

Latin America Transactions, IEEE (Revista IEEE America Latina)

Publisher

ieee

ISSN

1548-0992

Type

jour

DOI

10.1109/TLA.2013.6502773

Filename

6502773