Model-Free Predictive Current Control for Three-Phase Power Converters with LCL Filter

Xiang Liu, Yongchang Zhang, Haitao Yang, Jose Rodriguez

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

Abstract

This paper proposes a model-free predictive current control (MFPCC) based on ultra-local model algorithm to control the grid-connected, pulse-width modulator driven voltage source converters with LCL filters. Finite Control Set Model Predictive Control (FCS-MPC) technique can offer superior dynamic response and the use of ultra-local model can offer robust control performance. Resonant current compensation is added in the out-loop control to eliminate the steady-state tracking error and to achieve superior disturbance rejection. A 3-phase/150V VSR with LCL filter experimental platform has been established to validate that utilizing the proposed ultra-local based MFPCC method, insensitivity to power supply fluctuations and to large load variations is ensured, which showing excellent agreement with those obtained in simulation.

Original languageEnglish
Title of host publicationECCE 2020 - IEEE Energy Conversion Congress and Exposition
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5916-5921
Number of pages6
ISBN (Electronic)9781728158266
DOIs
Publication statusPublished - 11 Oct 2020
Event12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 - Virtual, Detroit, United States
Duration: 11 Oct 202015 Oct 2020

Publication series

NameECCE 2020 - IEEE Energy Conversion Congress and Exposition

Conference

Conference12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020
Country/TerritoryUnited States
CityVirtual, Detroit
Period11/10/2015/10/20

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Energy Engineering and Power Technology

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