Load mitigation and power tracking capability for wind turbines using linear matrix inequality-based control design

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Load mitigation and power tracking capability for wind turbines using linear matrix inequality-based control design. / Pöschke, Florian; Gauterin, Eckhard; Kühn, Martin et al.
In: Wind Energy, Vol. 23, No. 9, 01.09.2020, p. 1792-1809.

Research output: Journal contributionsJournal articlesResearchpeer-review

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Pöschke F, Gauterin E, Kühn M, Fortmann J, Schulte H. Load mitigation and power tracking capability for wind turbines using linear matrix inequality-based control design. Wind Energy. 2020 Sept 1;23(9):1792-1809. doi: 10.1002/we.2516

Bibtex

@article{66800185214447c697c5268c94d803f8,
title = "Load mitigation and power tracking capability for wind turbines using linear matrix inequality-based control design",
abstract = "This article deals with nonlinear model-based control design for wind turbines. By systematically integrating several mechanical degrees of freedom in the control design model, the load mitigation potential from the proposed multivariable control framework is demonstrated. The application of the linear matrix inequality (LMI)-based control design is discussed in detail. Apart from the commonly considered power production mode, an extended operating range to provide stabilization of the electrical grid through power tracking is considered. This control functionality allows for an evaluation of the resulting fatigue and ultimate loads for power tracking at different dynamic requirements. The results indicate that under the impact of a dedicated control scheme, this functionality is feasible with respect to the occurring loads and operational behavior of the wind turbine.",
keywords = "damage equivalent load, grid stabilization, load reduction, model-based control, power tracking, ultimate load, wind speed estimation, wind turbine control, Engineering",
author = "Florian P{\"o}schke and Eckhard Gauterin and Martin K{\"u}hn and Jens Fortmann and Horst Schulte",
note = "Publisher Copyright: {\textcopyright} 2020 The Authors. Wind Energy published by John Wiley & Sons Ltd.",
year = "2020",
month = sep,
day = "1",
doi = "10.1002/we.2516",
language = "English",
volume = "23",
pages = "1792--1809",
journal = "Wind Energy",
issn = "1095-4244",
publisher = "John Wiley & Sons Ltd.",
number = "9",

}

RIS

TY - JOUR

T1 - Load mitigation and power tracking capability for wind turbines using linear matrix inequality-based control design

AU - Pöschke, Florian

AU - Gauterin, Eckhard

AU - Kühn, Martin

AU - Fortmann, Jens

AU - Schulte, Horst

N1 - Publisher Copyright: © 2020 The Authors. Wind Energy published by John Wiley & Sons Ltd.

PY - 2020/9/1

Y1 - 2020/9/1

N2 - This article deals with nonlinear model-based control design for wind turbines. By systematically integrating several mechanical degrees of freedom in the control design model, the load mitigation potential from the proposed multivariable control framework is demonstrated. The application of the linear matrix inequality (LMI)-based control design is discussed in detail. Apart from the commonly considered power production mode, an extended operating range to provide stabilization of the electrical grid through power tracking is considered. This control functionality allows for an evaluation of the resulting fatigue and ultimate loads for power tracking at different dynamic requirements. The results indicate that under the impact of a dedicated control scheme, this functionality is feasible with respect to the occurring loads and operational behavior of the wind turbine.

AB - This article deals with nonlinear model-based control design for wind turbines. By systematically integrating several mechanical degrees of freedom in the control design model, the load mitigation potential from the proposed multivariable control framework is demonstrated. The application of the linear matrix inequality (LMI)-based control design is discussed in detail. Apart from the commonly considered power production mode, an extended operating range to provide stabilization of the electrical grid through power tracking is considered. This control functionality allows for an evaluation of the resulting fatigue and ultimate loads for power tracking at different dynamic requirements. The results indicate that under the impact of a dedicated control scheme, this functionality is feasible with respect to the occurring loads and operational behavior of the wind turbine.

KW - damage equivalent load

KW - grid stabilization

KW - load reduction

KW - model-based control

KW - power tracking

KW - ultimate load

KW - wind speed estimation

KW - wind turbine control

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85083985652&partnerID=8YFLogxK

U2 - 10.1002/we.2516

DO - 10.1002/we.2516

M3 - Journal articles

AN - SCOPUS:85083985652

VL - 23

SP - 1792

EP - 1809

JO - Wind Energy

JF - Wind Energy

SN - 1095-4244

IS - 9

ER -

DOI

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