基于状态空间的漂浮式风电机组控制策略研究
CONTROL STRATEGE RESEARCH OF FLOATING WIND TURBINES BASED ON STATE-SPACE
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摘要: 在保证漂浮式风电机组正常发电、可靠运行的前提下,以降低机组的载荷和浮动基础的运动幅度为设计目标,研究基于状态空间理论的多输入多输出控制算法。结合线性二次型调节器(LQR)最优算法的设计,寻找风电机组发电性能和浮动平台载荷两者之间的平衡,实现最优设计。通过扰动跟踪控制(DTC)与扰动适应控制(DAC)的方法实现转矩与变桨控制设计,并采用FAST软件进行仿真。与传统比例积分微分(PID)控制策略对比,有效降低塔底及漂浮式基础载荷;状态空间控制更能反映机组内部的耦合,可为后续漂浮式控制算法升级应用提供设计平台。Abstract: Under the premise of ensuring normal power generation and reliable operation of floating wind turbine,the multi-input and multi-output control algorithm based on state space theory is studied in order to reducing the load of the wind turbine and the motion amplitude of the floating platform. Combined with the design of LQR linear quadratic optimization algorithm,the balance between wind turbine generator performance and floating platform load is found to achieve optimal design. Torque and pitch control design is implemented by DTC and DAC methods,and simulation is performed using FAST software. Compared with the conventional PID control strategy,the load of tower base and floating platform is reduced effectively by this new control strategy. In addition,the state space control has more reflection of interior coupling of the wind turbine and provides a design platform for the subsequent upgrade application of the floating control algorithm.