Real-time economic nonlinear model predictive control for wind turbine control
Journal article, 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.

Author

Sébastien Gros

Chalmers, Signals and Systems, Systems and control, Automatic Control

Axel Schild

International Journal of Control

0020-7179 (ISSN)

Vol. 90 12 2799-2812

Subject Categories

Mechanical Engineering

Areas of Advance

Information and Communication Technology

Energy

DOI

10.1080/00207179.2016.1266514

More information

Created

10/7/2017