The Individual Blade Pitch Control for the Floating Offshore Wind Turbines Bearing the Air-Hydrodynamic Coupling Loads
Zhou Lawu1, Yang Binyou2, Han Bing3, Li Feilong1, Hu Zhou4
1. School of Electrical and Information Engineering Changsha University of Science and Technology Changsha 410114 China; 2. Changde Power Supply Branch of State Grid Changde 415001 China; 3. Suzhou Power Supply Branch of State Grid Suzhou 215000 China; 4. Yueyang Power Supply Branch of State Grid Yueyang 414000 China
Abstract：In this paper, an individual blade pitch control strategy based on radical-basis function neural network (RBFNN) control was proposed for the floating offshore wind turbines (FOWT) bearing air-hydrodynamic coupling loads. Considering the effects of wind shear and tower shadow firstly, a more accurate aerodynamic model was established. The aerodynamic model was coupled with the hydrodynamic model to obtain the relative wind speed under the disturbance of wind and wave. On this basis, an individual pitch control method based on RBFNN was proposed. The RBFNN is used to approximate the unknown nonlinear function of the pitch control system. The adaptive rate was derived by Lyapunov method, and the weights of the neural network were adjusted online to improve the dynamic performance of the proposed pitch control system. The proposed control strategy and the traditional PI controller were compared in the combination of FAST-Matlab/Simulink. The results showed that the proposed method can effectively stabilize the output power of FOWT and reduce the load fluctuation and pitch oscillation of floating base to a certain extent.
周腊吾, 杨彬佑, 韩兵, 李飞龙, 胡舟. 漂浮式风机气-水动力耦合下的独立变桨控制方法[J]. 电工技术学报, 2019, 34(17): 3607-3614.
Zhou Lawu, Yang Binyou, Han Bing, Li Feilong, Hu Zhou. The Individual Blade Pitch Control for the Floating Offshore Wind Turbines Bearing the Air-Hydrodynamic Coupling Loads. Transactions of China Electrotechnical Society, 2019, 34(17): 3607-3614.
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2019, Vol. 34 
