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Individual pitch controller based on fuzzy logic control for wind turbine load mitigation

机译:基于模糊逻辑控制的风电机组独立变桨控制器

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With the increasing size of modern large wind turbine (WT), the effects of dynamic loading on the structures become an important influence factor. There are mitigation measures for WT control systems to reduce these imbalance structural loads and regulate power. It has motivated the development of blade individual pitch control (IPC) methodologies. This study focuses on the design of fuzzy logic controller (FLC) for IPC. The controllers are designed in order to optimise a trade-off among several control objectives such as blade root moment and generator torque. Three different FLC had been used in the controllers, the first one related to blade pitch angle and electromagnetic torque control variables to meet specified objectives for operation region, the second control model and the third model related to - axis blade moment in non-rotating frame of reference. Likewise, the optimisation criteria of FLC consider for each controller objective to mitigate fatigue loads and regulate output power. Finally, the effectiveness of proposed method is verified by simulation results for three-bladed NREL 2 MW WT. The results proved that the fatigue loads in the turbine are reduced obviously.
机译:随着现代大型风力涡轮机(WT)尺寸的增加,动态载荷对结构的影响成为重要的影响因素。 WT控制系统有缓解措施,以减少这些不平衡的结构负载并调节功率。它推动了叶片独立变桨控制(IPC)方法的发展。这项研究的重点是IPC的模糊逻辑控制器(FLC)的设计。设计控制器的目的是为了优化几个控制目标之间的权衡,例如叶片根部力矩和发电机转矩。控制器中使用了三种不同的FLC,第一个与叶片俯仰角和电磁转矩控制变量相关,以满足指定的操作区域目标,第二个控制模型和第三个模型与非旋转机架中的-轴叶片力矩有关参考。同样,FLC的优化标准考虑了每个控制器目标,以减轻疲劳负载并调节输出功率。最后,通过三叶片NREL 2 MW WT的仿真结果验证了所提方法的有效性。结果证明,涡轮机的疲劳载荷明显降低。

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