High performance operation for a four-leg NPC inverter with two-sample-ahead predictive control strategy

V. Yaramasu, M. Rivera, M. Narimani, B. Wu, J. Rodriguez

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

In this paper is proposed a finite control-set model predictive control (FCS-MPC) strategy which uses a two-sample-ahead prediction horizon to achieve high-performance operation for a three-phase four-leg neutral-point-clamped (NPC) inverter with an output LC filter. The control strategy is proposed in order to minimize the error between the output voltages and their references, maintain equal voltage among the dc-link capacitors, and reduce the overall switching frequency of the inverter. One-sample-ahead and two-sample-ahead prediction horizon are evaluated and compared in terms of reference tracking error and THD, under steady-state and transient operating conditions with linear and non-linear loads. The experimental results demonstrate that the proposed two-sample-ahead prediction horizon is more suitable for high power applications where lower switching frequency operation is mandatory.

Original languageEnglish (US)
Pages (from-to)31-39
Number of pages9
JournalElectric Power Systems Research
Volume123
DOIs
StatePublished - Jun 2015
Externally publishedYes

Keywords

  • Dc-ac power conversion
  • Distributed generation
  • Finite control-set model predictive control (FCS-MPC)
  • Multilevel inverters
  • Neutral-point-clamped (NPC) inverter
  • Uninterruptible power supply (UPS)

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'High performance operation for a four-leg NPC inverter with two-sample-ahead predictive control strategy'. Together they form a unique fingerprint.

Cite this