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Cyclic pitch control for aerodynamic load reductions of floating offshore wind turbines under pitch motions.

Authors :
Wang, Xinbao
Xiao, Yang
Cai, Chang
Wu, Xianyou
Zhang, Yongming
Kong, Detong
Liu, Junbo
Sun, Xiangyu
Zhong, Xiaohui
Li, Qing'an
Source :
Energy. Nov2024, Vol. 309, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Floating offshore wind turbines suffer severe aerodynamics under platform motions. Novel control methods are urgently needed to improve power and load performances. A mechanical cyclic pitch control strategy is introduced in this paper, and the load reduction effect on the NREL 5-MW wind turbine is investigated under dominant pitch motions. The simulation is performed by the standalone Aerodyn_Driver code. Results show that the relative airflow under pitch motions can be equated to a linear sheared flow and is only related to wind velocity and pitch angular velocity. Cyclic pitch control hardly affects power and thrust but significantly changes aerodynamic moments. The resultant moment and moment axis azimuth are defined, and they are controlled respectively by pitch amplitude and phase. The optimal pitch parameter equations to minimize pitching and yawing moments are derived from fitting and derivation, and the standard deviations of aerodynamic moments are reduced by over 70 % under the sinusoidal pitch motion and steady inflow below rated operation. This paper provides a new idea for the individual pitch control structure, and the mechanism study for aerodynamic control is important and instructive to fill the technological gap in mature pitch control strategies for floating offshore wind turbines. • Cyclic pitch control is used to reduce aerodynamic loads under pitch motions. • The linear sheared airflow is only related to wind and pitch angular velocity. • Power and thrust are almost unaffected in the limited pitch angle range. • Load magnitude and direction are adjusted respectively by pitch amplitude and phase. • Standard deviations of moments are reduced by over 70 % with the optimal control. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03605442
Volume :
309
Database :
Academic Search Index
Journal :
Energy
Publication Type :
Academic Journal
Accession number :
179734670
Full Text :
https://doi.org/10.1016/j.energy.2024.132945