PublisherUnited Kingdom Automatic Control Council (UKACC)
Rights accessRestricted access - publisher's policy
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.
CitationHernández, 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.
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