Control Predictivo Robusto basado en Modelo para Inversor de Fuente de Tensión Conectado a Red (A Robust Model Predictive Control For Grid-Connected Voltage-Source Inverters)

Marcos Judewicz (marcosj@fi.mdp.edu.ar), Jonatan Fischer (jfischer@fi.mdp.edu.ar), Mario Herrán (herran@fi.mdp.edu.ar), Sergio González (sagonzal@ieee.org), Daniel Carrica (carrica@fi.mdp.edu.ar)


Universidad Nacional de Mar Del Plata
This paper appears in: Revista IEEE América Latina

Publication Date: Feb. 2013
Volume: 11,   Issue: 1 
ISSN: 1548-0992


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.

Index Terms:
voltage source inverter, nonlinear control, predictive control, parameter variation, state observers   


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