参考文献
[1] 李辉,杨超,胡姚刚,等. 抑制风力机疲劳载荷的直接比例谐振独立变桨控制策略[J] . 电力自动化设备,2016,36(3) :79-85.
[2] 郭百顺,秦斌,邵军,等. 风电机组独立变桨距控制策略研究[J]. 湖南工业大学学报, 2014,28(2) :42-45.
[3] MULDERS S P, VAN WINGERDEN J W.On the importance of the azimuth offset in a combined 1P and 2P SISO IPC implementation for wind turbine fatigue load reductions[C]//2019 American Control Conference(ACC),2019 :3506-3511.
[4] LARA M, GARRIDO J, VAN WINGERDEN J W, et al.Optimization with genetic algorithms of individual pitch control design with and without azimuth offset for wind turbines in the full load region[J].IFAC-PapersOnLine,2023,56(2) :342-347.
[5] MULDERS S P, PAMOSOSURYO A K, DISARIO G E, et al.Analysis and optimal individual pitch control decoupling by inclusion of an azimuth offset in the multiblade coordinate transformation[J].Wind Energy,2019,22(3) :341-359.
[6] LI Jianshen, WANG Shuangxin.Dual multivariable model-free adaptive individual pitch control for load reduction in wind turbines with actuator faults[J].Renewable Energy,2021,174 :293-304.
[7] WANG Xin , ZHOU Jianshu , QIN Bin , et al .Individual pitch control of wind turbines based on SVM load estimation and LIDAR measurement[J].IEEE Access,2021,9 :143913-143921.
[8] 孔维杰,秦斌,王欣. 风机独立变桨减载模型预测控制研究[J]. 电工技术,2024(4) :17-21.
[9] 曹松青,郝万君,陈歆婧,等. 基于模型预测控制的风电机组载荷控制[J]. 苏州科技大学学报(自然科学版),2019,36(3) :79-84.
[10] 田德,方建驹,刘枫,等. 大型风电机组模型预测独立变桨控制器设计[J] . 太阳能学报,2022,43(4) :461-467.
[11] 梁栋炀,宋子秋,刘亚娟. 基于 LPV-MPC 的风电机组功率-载荷协调控制策略[J] . 可再生能源,2024,42(1) :38-44.
[12] 王多睿,王维庆,蔡鑫. 基于 NMPC-PID 的风力机独立变桨距控制策略研究[J] . 太阳能学报,2017,38(9) :2520-2526.
[13] KAYEDPOUR N, SAMANI A E, DE KOONING J D M, et al.Model predictive control with a cascaded Hammerstein neural network of a wind turbine providing frequency containment reserve[J].IEEE Transactions on Energy Conversion,2021,37(1) :198-209.
[14] PETROVIC V, JELAVIC M, BAOTIC M.MPC framework for constrained wind turbine individual pitch control[J].Wind Energy,2021,24(1) :54-68.
[15] COLLET D, ALAMIR M, DI DOMENICO D, et al.Datadriven fatigue-oriented MPC applied to wind turbines individual pitch control[J].Renewable Energy,2021,170 :1008-1019.
[16] EL-BAKLISH S K, EL-BADAWY A A, FRISON G, et al.Nonlinear model predictive pitch control of aero-elastic wind turbine blades[J].Renewable Energy,2020,161 :777-791.
[17] RAACH S, SCHLIPF D, SANDNER F, et al.Nonlinear model predictive control of floating wind turbines with individual pitch control[C]//2014 American Control Conference,2014 :4434-4439.