Convex optimization design of multi-model controller for pitch-regulated wind turbine systems

  • Magdi S. Mahmoud
  • , Mojeed O. Oyedeji

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

Abstract

In this paper, a convex optimization approach to controller design is addressed. Specifically, a family of LQR-based controllers namely; LQR with integral action (LQRI) and LQR with disturbance rejection and integral action (LQRI+) are designed for pitch control of wind turbine systems. The LQRI+ incorporates an extra term in the formulation of the LQRI controller to compensate for the effect of disturbance on the system. Both controllers were designed using LMI formalism. To guarantee satisfactory performance including stability and reference tracking across all operating regimes of the turbine, a multi-model approach was employed using linear models obtained at multiple wind speeds designating different operating regions of the turbine. The performance of both controllers were then compared using FAST, an aero-elastic tool and a benchmark NREL 5MW wind turbine developed by the National Renewable Energy Laboratory, USA.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1735-1740
Number of pages6
ISBN (Electronic)9781509066841
DOIs
StatePublished - 26 Dec 2018

Publication series

NameProceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Control and Optimization

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