- Title
- Nonlinear model predictive controller design for extreme load mitigation in transition operation region in wind turbines
- Creator
- Tofighi, Elham; Schlipf, David; Kellett, Christopher M.
- Relation
- 2015 IEEE Conference on Control Applications (CCA). Proceedings of the 2015 IEEE Conference on Control Applications (CCA) (Sydney 21-23 September, 2015) p. 1167-1172
- Publisher Link
- http://dx.doi.org/10.1109/CCA.2015.7320770
- 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 tower-top 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
- wind turbines; wind speed; rotors; blades; torque; poles and towers; generators
- Identifier
- http://hdl.handle.net/1959.13/1316945
- Identifier
- uon:23291
- Identifier
- ISBN:9781479977871
- Language
- eng
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