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Model Predictive Control of Trailing Edge Flaps on a wind turbine blade

机译:风机叶片后缘襟翼的模型预测控制

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Trailing Edge Flaps on wind turbine blades have been studied in order to achieve fatigue load reduction on the turbine components. We show in this paper how Model Predictive Control can be used to do frequency weighted control of the trailing edge flaps in order to reduce fatigue damage on the blade root. The design model is based on a modal model of the blade structure and a steady state aerodynamic model of the blade airfoils. Depending on the output filter, loads within different frequency range are decreased. A fine tuning of the Kalman filter and of the cost function allows to decrease significantly the blade root loads without damaging excessively the trailing edge flap actuators.
机译:为了减少涡轮机部件的疲劳载荷,已经研究了风力涡轮机叶片上的后缘襟翼。我们在本文中展示了如何将模型预测控制用于后缘襟翼的频率加权控制,以减少叶片根部的疲劳损伤。设计模型基于叶片结构的模态模型和叶片机翼的稳态空气动力学模型。根据输出滤波器的不同,可以减少不同频率范围内的负载。卡尔曼滤波器和成本函数的微调可以显着降低叶片根部负载,而不会过度损坏后缘襟翼致动器。

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