- Title
- Nonlinear model predictive control approach for structural load mitigation of wind turbines in presence of wind measurement uncertainties
- Creator
- Tofighi, Elham; Schlipf, David; Kellett, Christopher M.
- Relation
- 2015 5th Australian Control Conference (AUCC). Proceedings of the 2015 5th Australian Control Conference (Gold Coast, Qld 5-6 November, 2015) p. 210-214
- Relation
- http://www.aucc.org.au/AUCC2015/
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2015
- Description
- This paper addresses the problem of alleviating tower stresses for wind turbines in the event of extreme loads during the transition between the partial and full load operation regions. A Nonlinear Model Predictive Controller (NMPC) is used to enhance power capture for the National Renewable Energy Laboratory (NREL) 5MW variable-pitch variable-speed reference wind turbine. It is assumed that wind field preview information is measurable using wind speed/direction measurement devices such as LIDAR. The objective is to mitigate extreme loads on the turbine structure by minimizing the towertop movement caused by thrust forces. While conventional controllers aim to extract maximal power from the wind by tracking the maximum power coefficient cP,max for below-rated wind speeds, the proposed NMPC approach additionally damps the tower fore-aft movement in response to sudden changes in the wind speed. This results in considerable load mitigation. Simulations demonstrate the efficacy of the proposed approach.
- Subject
- machine control; nonlinear control systems; predictive control; wind turbines
- Identifier
- http://hdl.handle.net/1959.13/1315581
- Identifier
- uon:22964
- Identifier
- ISBN:9781467367370
- Language
- eng
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