DocumentCode :
3435933
Title :
Repetitive model predictive approach to individual pitch control of wind turbines
Author :
Friis, Johannes ; Nielsen, Ebbe ; Bonding, Jesper ; Adegas, Fabiano Daher ; Stoustrup, Jakob ; Odgaard, Peter Fogh
Author_Institution :
Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark
fYear :
2011
fDate :
12-15 Dec. 2011
Firstpage :
3664
Lastpage :
3670
Abstract :
A novel model predictive (MPC) approach for individual pitch control of wind turbines is proposed in this paper. A repetitive wind disturbance model is incorporated into the MPC prediction. As a consequence, individual pitch feed-forward control action is generated by the controller, taking “future” wind disturbance into account. Information about the estimated wind spatial distribution one blade experience can be used in the prediction model to better control the next passing blade. A simulation comparison between the proposed controller and an industry-standard PID controller shows better mitigation of drive-train, blade and tower loads.
Keywords :
blades; drives; feedforward; machine control; predictive control; wind turbines; MPC prediction; blade load; controller; drive-train mitigation; future wind disturbance; individual pitch feedforward control action; prediction model; repetitive model predictive approach; repetitive wind disturbance model; tower load; wind spatial distribution one blade experience; wind turbines; Blades; Computational modeling; Poles and towers; Predictive models; Rotors; Wind speed; Wind turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL
ISSN :
0743-1546
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2011.6160948
Filename :
6160948
Link To Document :
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