Performance-Enhanced Direct Multiple-Vector Model Predictive Power Control for grid-tied AFEs

Zhenbin Zhang, Ralph Kennel, Christoph Hackl

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Direct Model Predictive Power Control (DMPPC) has emerged as a viable alternative for grid-tied Active Front End (AFE) power converters. However, its one-switching-vector-per-sampling-interval character leads to big ripples in its control variables. This work proposes a Performance-Enhanced Direct Multiple-Vector Model Predictive Power Control (DMV-MPPC) solution for grid-tied AFEs directly implementable on an FPGA. The proposed control scheme is compared with the classical DMPPC. The presented experimental results illustrate that the control performance can be significantly improved by the proposed DMV-MPPC scheme.

Original languageEnglish
Title of host publication2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2904-2909
Number of pages6
ISBN (Electronic)9781509012107
DOIs
StatePublished - 13 Jul 2016
Event8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016 - Hefei, China
Duration: 22 May 201626 May 2016

Publication series

Name2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016

Conference

Conference8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016
Country/TerritoryChina
CityHefei
Period22/05/1626/05/16

Keywords

  • Direct Model Predictive Control
  • Direct Multiple-Vector Model Predictive Power Control
  • FPGA Digital Control
  • Grid-Tied Active Front End
  • Performance-Enhanced Direct Power Control

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