LiDAR-enabled model predictive control of wind turbines with real-time capabilities

We consider LiDAR-enabled model-based collective pitch and torque controllers that can be implemented onboard a wind turbine in a hard real-time environment, in the sense that they can be computed efficiently on standard computer hardware and that require a fixed deterministic number of operations at each call.

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Year of publication:	2014
Authors:	Bottasso, C.L. ; Pizzinelli, P. ; Riboldi, C.E.D. ; Tasca, L.
Published in:	Renewable Energy. - Elsevier, ISSN 0960-1481. - Vol. 71.2014, C, p. 442-452
Publisher:	Elsevier
Subject:	Wind turbine control \| LiDAR \| Predictive control \| Receding horizon \| Non-homogeneous LQR \| Unfrozen turbulence

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010906501