Nonlinear model predictive control approach for structural load mitigation of wind turbines in presence of wind measurement uncertainties

Publikationstyp
Conference Paper
Date Issued
2015-12-21
Sprache
English
Author(s)
Tofighi, Elham
Faulwasser, Timm  
Kellett, Christopher M.  
TORE-URI
https://hdl.handle.net/11420/46197
Start Page
210
End Page
214
Article Number
7361935
Citation
Proceedings of 2015 Australian Control Conference (AUCC 2015) : Gold Coast, Australia, 05-06 November 2015. - Piscataway, NJ, 2015. - Seite 210-215
Contribution to Conference
5th Australian Control Conference, AUCC 2015  
Scopus ID
2-s2.0-84964016566
Publisher
IEEE
ISBN
978-1-922107-69-5
978-1-922107-70-1
978-1-4673-6737-0
In this paper the design of nonlinear model predictive control (NMPC) for multi-mega watt wind turbines is addressed. In an attempt to minimize energy production costs, we propose an NMPC scheme to maximize the wind energy harvest while mitigating structural loads. The proposed controller relies on noisy look-ahead wind field information obtained via LIDAR measurements. By means of simulations we demonstrate the advantages of the proposed NMPC approach.
Subjects
extreme load mitigation
nonlinear model predictive control (NMPC)
wind turbine control
DDC Class
004: Computer Sciences
530: Physics
620: Engineering