Fully FPGA based predictive control of back-to-back power converter PMSG wind turbine systems with space vector modulator

Zhenbin Zhang, Xinbo Cai, Ralph Kennel, Fengxiang Wang

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

7 Scopus citations

Abstract

This work presents a fully FPGA based deadbeat-like predictive control scheme for back-to-back converter PMSG wind turbine systems with space vector modulator (SVM). A deadbeat-like predictive torque/current controller is used to control the machine side converter, while a deadbeat power control method in αβ frame is used to control the grid side converter. Both sides achieve nice steady state performances requiring few tuning efforts. Both the machine and grid side predictive controllers are realized on a commercial-off-the-shelf FPGA based platform. By using a single-cycle-timed-loop (SCTL) technique, the whole computation time is quite short (less than 4 μs), which makes the calculation time compensation not required. The effectiveness of the presented method is verified through experimental data.

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.
Pages1468-1473
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

  • Back-to-Back Power Converter
  • Deadbeat-like Predictive Control
  • FPGA Digital Control
  • PMSG Wind Turbine System

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