Model predictive approach for a simple and effective load voltage control of four-leg inverter with an output LC filter

Venkata Yaramasu, Marco Rivera, Mehdi Narimani, Bin Wu, Jose Rodriguez

Research output: Contribution to journalArticlepeer-review

152 Scopus citations

Abstract

This paper presents a finite control set model predictive strategy and its application to the load voltage control of two-level four-leg inverters. The proposed approach uses the novel discrete-time model of the inverter and output LC filter in order to predict the variables to be controlled. These predictions are carried out for the 16 switching states of the inverter and are evaluated using a cost function. The switching state that forces the load voltages to be closest to their respective references is chosen and applied to the inverter. The behavior of the predictive controller has been investigated, and the changes to both inductive and capacitive filter parameters have been considered. In order to improve the reliability of the fourth leg as well as the overall inverter efficiency, a solution is proposed, which combines hardware and software reconfigurations. The feasibility of the proposed method is verified through simulation and experimental results considering single-/three-phase, balanced/unbalanced, and linear/nonlinear loads.

Original languageEnglish (US)
Article number6701197
Pages (from-to)5259-5270
Number of pages12
JournalIEEE Transactions on Industrial Electronics
Volume61
Issue number10
DOIs
StatePublished - Oct 2014
Externally publishedYes

Keywords

  • DC-AC power conversion
  • digital control
  • distributed generation
  • four-leg inverters
  • predictive control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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