Periodic LQG Wind Turbine Control with Adaptive Load Reduction

Publikation: Beitrag in FachzeitschriftForschungsartikelEingeladenBegutachtung

Beitragende

Abstract

A periodic linear quadratic Gaussian (LQG) control law augmented with a reference point adaption to enable adequate rotor speed tracking and sufficient load reductions for a wind turbine is presented. The solution of the periodic LQG control problem is based on solving two periodic Ricatti differential equations in continuous time with a multiple shooting integration technique. For this, the available gridded linear time-variant description of the turbine is converted to a harmonic representation using harmonic Fourier approximation. While the
periodic LQG controller provides rotor speed tracking and effective damping of the aeroelastic blade modes, the reference point adaption explicitly reduces the loads resulting from the periodic operation of the turbine rotor at the rotor rotational frequency. The performance of the proposed control system is compared against a baseline controller in realistic wind scenarios using a high
fidelity nonlinear simulator. The results show a significant damage equivalent load reduction while maintaining adequate rotor speed tracking.

Details

OriginalspracheEnglisch
Seiten (von - bis)7674-7679
Seitenumfang6
Fachzeitschrift IFAC-PapersOnLine
Jahrgang56(2023)
Ausgabenummer2
PublikationsstatusVeröffentlicht - 1 Juli 2023
Peer-Review-StatusJa

Konferenz

Titel22nd World Congress of the International Federation of Automatic Control
KurztitelIFAC 2023
Veranstaltungsnummer22
Dauer9 - 14 Juli 2023
Webseite
BekanntheitsgradInternationale Veranstaltung
OrtPacific Convention Plaza Yokohama
StadtYokohama
LandJapan

Externe IDs

Scopus 85184960824
Mendeley 4f845394-da5c-3efe-b060-1eed45372b39
ORCID /0000-0001-6734-704X/work/167216632

Schlagworte

Bibliotheksschlagworte