Model predictive current control of two-level four-leg inverters -Part ii: Experimental implementation and validation

Marco Rivera, Venkata Yaramasu, Jose Rodriguez, Bin Wu

Research output: Contribution to journalArticlepeer-review

102 Scopus citations

Abstract

This paper describes the experimental implementation of the model predictive current control algorithm for a two-level four-leg inverter operating under balanced, unbalanced, and nonlinear loading conditions. The proposed scheme is designed to predict the future behavior of the load currents for each of the 16 possible switching states of the converter. The control method chooses a switching state that minimizes the error between the output currents and their references. The algorithm is embedded using a MATLAB/Simulink software environment, and experimental results based on the dSPACE DS1103 controller are provided. These results verify the advantages of the proposed control strategy in terms of robustness under filter and load parameter variations, average neutral-leg switching frequency reduction, reference tracking error, and percentage total harmonic distortion.

Original languageEnglish (US)
Article number6353956
Pages (from-to)3469-3478
Number of pages10
JournalIEEE Transactions on Power Electronics
Volume28
Issue number7
DOIs
StatePublished - 2013
Externally publishedYes

Keywords

  • Control systems
  • current control
  • dc-ac power conversion
  • digital control
  • discrete-time signals
  • distributed generation
  • finite control set (FCS) model predictive control (MPC)
  • four-leg converters
  • grid-connected
  • shunt active power filters

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Model predictive current control of two-level four-leg inverters -Part ii: Experimental implementation and validation'. Together they form a unique fingerprint.

Cite this