Nonlinear control of wind energy conversion system based on DFIG with a mechanical torque observer

K. Noussi*, A. Abouloifa, H. Katir, I. Lachkar, F. Giri, J. M. Guerrero

*Corresponding author for this work

Research output: Contribution to journalConference article in JournalResearchpeer-review

8 Citations (Scopus)
56 Downloads (Pure)

Abstract

In this paper, an advanced nonlinear backstepping control approach is developed and applied to the whole nonlinear system including the AC/DC/AC converters combined with the doubly-fed induction generator(DFIG). A high gain observer is synthesized, in order to provide an estimated value of the mechanical torque whereas, a wind speed estimation block is designed based on roots polynomial method; followed by sensorless maximum power point tracking (MPPT). The control objectives are fourfold: (i) Forcing the generator speed to track the reference signal given by the MPPT block, (ii) adjusting the stator reactive power injected into the grid to be null, (iii) Regulating the DC-link voltage between the rotor side and the grid side converters at the desired level, (iv) assuring a unitary power factor in the grid side. The achievement of these control objectives leans on a multi-loop regulator which shows a satisfying performance as far as it concerns the simulation results.

Original languageEnglish
Book seriesIFAC-PapersOnLine
Volume53
Issue number2
Pages (from-to)12733-12738
Number of pages6
ISSN2405-8963
DOIs
Publication statusPublished - 2020
Event21st IFAC World Congress 2020 - Berlin, Germany
Duration: 12 Jul 202017 Jul 2020

Conference

Conference21st IFAC World Congress 2020
Country/TerritoryGermany
CityBerlin
Period12/07/202017/07/2020

Bibliographical note

Publisher Copyright:
Copyright © 2020 The Authors.

Keywords

  • Backstepping control
  • Doubly-fed induction generator(DFIG)
  • High gain observer
  • Variable speed wind turbine

Fingerprint

Dive into the research topics of 'Nonlinear control of wind energy conversion system based on DFIG with a mechanical torque observer'. Together they form a unique fingerprint.

Cite this