Wind speed estimation in wind turbines using EKF: application to experimental data

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dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor	Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor.author	Hernández, Jordi
dc.contributor.author	Guadayol, Marc
dc.contributor.author	Puig Cayuela, Vicenç
dc.date	2014
dc.identifier.citation	Hernández, J.; Guadayol, M.; Puig, V. Wind speed estimation in wind turbines using EKF: application to experimental data. A: International Conference on Control. "CONTROL 2014: 10th International Conference on Control: Loughborough University, 9-11th July 2014: conference preprints". Loughborough: United Kingdom Automatic Control Council (UKACC), 2014, p. 482-487.
dc.identifier.uri	http://hdl.handle.net/2117/24598
dc.language.iso	eng
dc.publisher	United Kingdom Automatic Control Council (UKACC)
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Energies::Energia eòlica
dc.subject	Wind turbines
dc.subject	Wind estimation
dc.subject	Extended Kalman Filter
dc.subject	Wind turbine
dc.subject	Aerogeneradors
dc.title	Wind speed estimation in wind turbines using EKF: application to experimental data
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Wind speed estimation is an important issue when addressing the control or the monitoring of a wind turbine. A realistic value of wind speed could be very useful to improve performance of wind turbine controllers, either for scheduling or as an extra feed forward term. In addition, it could also be useful for fault diagnosis and fault-tolerant control of the wind turbine. The objective of this work is to design and implement a wind speed estimator based on an Extended Kalman Filter (EKF) that uses a simplified nonlinear model and to compare the performance with experimental wind speed measurements. Even with such a simple model, the agreement with experimental data is significant, and shows great potential to be used by an advanced wind turbine controller.

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