Real-time economic nonlinear model predictive control for wind turbine control
Artikel i vetenskaplig tidskrift, 2017

Nonlinear model predictive control (NMPC) is a strong candidate to handle the control challenges emerging in the modern wind energy industry. Recent research suggested that wind turbine (WT) control based on economic NMPC (ENMPC) can improve the closed-loop performance and simplify the task of controller design when compared to a classical NMPC approach. This paper establishes a formal relationship between the ENMPC controller and the classic NMPC approach, and compares empirically their closed-loop nominal behaviour and performance. The robustness of the performance is assessed for an inaccurate modelling of the tower fore-aft main frequency. Additionally, though a perfect wind preview is assumed here, the effect of having a limited horizon of preview of the wind speed via the LIght Detection And Ranging (LIDAR) sensor is investigated. Finally, this paper provides new algorithmic solutions for deploying ENMPC for WT control, and report improved computational times.

Författare

Sébastien Gros

Signaler och system, System- och reglerteknik, Reglerteknik

Axel Schild

International Journal of Control

0020-7179 (ISSN)

Vol. 90 2799-2812

Ämneskategorier

Maskinteknik

Styrkeområden

Informations- och kommunikationsteknik

Energi

DOI

10.1080/00207179.2016.1266514