An improved real-time economic NMPC scheme for Wind Turbine control using spline-interpolated aerodynamic coefficients
Paper in proceeding, 2015

Nonlinear Model Predictive Control (NMPC) is a strong candidate for the control of large Multi-Mega Watt Wind Turbine Generators (WTG), especially when reliable Light Detection And Ranging (LIDAR) systems are available. Recently, a real-time NMPC for WTG control has been proposed, but had a limited reliability if deployed over the full WTG operating range due to the difficulty of handling the WTG aerodynamic coefficients over a large domain and of using a Gauss-Newton Hessian. In this paper, we address these two issues. A fast surface B-spline code has been developed specifically to tackle the interpolation of the aerodynamic coefficients for NMPC-based WTG control. A novel Hessian approximation for the NMPC problem is used, for which an efficient and inexpensive regularization is proposed. The approach presented is real-time feasible, and accurate over the full operating range of the WTG.


Hessian approximation

real-time Economic NMPC

surface B-spline

wind turbine control


Sébastien Gros

Chalmers, Signals and Systems, Systems and control

R. Quirynen

M. Diehl

Proceedings of the 53rd IEEE Annual Conference on Decision and Control, CDC 2014, Los Angeles, United States, 15-17 December 2014

0743-1546 (ISSN)


Subject Categories

Electrical Engineering, Electronic Engineering, Information Engineering



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