Open AccessLoad mitigation and power tracking capability for wind turbines using linear matrix inequality‐based control design
Author(s) -
Pöschke Florian,
Gauterin Eckhard,
Kühn Martin,
Fortmann Jens,
Schulte Horst
Publication year - 2020
Publication title -
wind energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.743
H-Index - 92
eISSN - 1099-1824
pISSN - 1095-4244
DOI - 10.1002/we.2516
Subject(s) - wind power , control theory (sociology) , turbine , control engineering , linear matrix inequality , range (aeronautics) , engineering , power (physics) , tracking (education) , control (management) , multivariable calculus , computer science , mathematical optimization , mathematics , mechanical engineering , aerospace engineering , psychology , pedagogy , physics , quantum mechanics , artificial intelligence , electrical engineering
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.