Encoderless model predictive control of back-to-back converter direct-drive permanent-magnet synchronous generator wind turbine systems

Zhenbin Zhang, Christoph Hackl, Fengxiang Wang, Zhe Chen, Ralph Kennel

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

39 Scopus citations

Abstract

This paper presents encoderless model predictive control scheme with time-varying sliding mode observer for a complete wind turbine system. The wind turbine system consists of a back-to-back converter (AC/DC/AC) and a direct-drive permanent-magnet synchronous generator (PMSG). We give a complete model of the system and present encoderless fixed-frequency model predictive direct torque control of the generator and finite-set model predictive direct power control of active and reactive power on the grid side. The sliding mode observer utilizes a time-varying switching gain and a time-varying cut-off frequency to estimate rotor position and rotor speed without chattering. The proposed strategy is illustrated by simulations as a first proof of concept. The simulation results show that the proposed strategy achieves fast torque control dynamics and highly decoupled control of active and reactive power.

Original languageEnglish
Title of host publication2013 15th European Conference on Power Electronics and Applications, EPE 2013
DOIs
StatePublished - 2013
Event2013 15th European Conference on Power Electronics and Applications, EPE 2013 - Lille, France
Duration: 2 Sep 20136 Sep 2013

Publication series

Name2013 15th European Conference on Power Electronics and Applications, EPE 2013

Conference

Conference2013 15th European Conference on Power Electronics and Applications, EPE 2013
Country/TerritoryFrance
CityLille
Period2/09/136/09/13

Keywords

  • Direct power control
  • Non-linear control
  • Optimal control
  • Sensorless control
  • Wind energy
  • Windgenerator systems

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