Model predictive current control of two-level four-leg inverters -Part i: Concept, algorithm, and simulation analysis

Venkata Yaramasu, Marco Rivera, Bin Wu, Jose Rodriguez

Research output: Contribution to journalArticlepeer-review

206 Scopus citations

Abstract

In this paper, a simple model predictive current control strategy is proposed for four-leg inverters to deliver power to the (un)balanced/(non)linear loads. Unlike classical control schemes, the proposed method does not require current PI controllers or a complex modulation stage. The discrete-time model of the inverter, filter, and load are used to predict the future behavior of the load currents for each of the 16 possible switching states. The control method chooses a switching state that minimizes the error between the output currents and their references. The performance of the proposed method has been investigated for perturbations in the filter and load parameters. The neutral-leg switching frequency reduction algorithm is also proposed to improve the efficiency of the converter. The feasibility of the proposed method is verified in this first part, through simulation results.

Original languageEnglish (US)
Article number6353643
Pages (from-to)3459-3468
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 (SAPFs)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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