Flutter Analysis of Piezoelectric Material Based Smart Wind Turbine Blade

Hao Wang, Junyu Yi, Wei Chen, Zhexin Zhou
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引用次数: 1

Abstract

This paper presents a smart wind turbine blade of piezoelectric material. Based on Theodorsen unsteady aerodynamics and the V-g method, the flutter analysis in frequency domain is carried out for the smart wind turbine blade and the ordinary wind turbine blade. The simulation results demonstrate that the flutter critical velocity, that is, the reduced velocity of the smart wind turbine blade, is obviously much higher than that of the ordinary wind turbine blade. The smart wind turbine blade of piezoelectric material can effectively restrain the flutter of the wind turbine blade, especially for the flap motion. For the torsion motion, the smart wind turbine blade is kept away from the critical flutter. Then, to investigate the influences of different parameters on the flutter of the smart wind turbine blade, the influences of the center of gravity, the frequency ratio and the mass ratio of the blades on the flutter critical velocity of the smart wind turbine blade are researched respectively. The increase of the applied external electrical load of the piezoelectric material can increase the flutter critical velocity of the smart wind turbine blade.
基于压电材料的智能风力机叶片颤振分析
介绍了一种压电材料的智能风力发电机叶片。基于Theodorsen非定常空气动力学和V-g法,对智能风力机叶片和普通风力机叶片进行了颤振频域分析。仿真结果表明,智能风力机叶片的颤振临界速度,即降速明显高于普通风力机叶片。压电材料智能风力机叶片可以有效地抑制风力机叶片的颤振,尤其是襟翼运动。在扭转运动中,智能风力机叶片远离临界颤振。然后,为了研究不同参数对智能风力机叶片颤振的影响,分别研究了叶片重心、叶片频率比和叶片质量比对智能风力机叶片颤振临界速度的影响。随着压电材料外加电载荷的增大,智能风力机叶片颤振临界速度增大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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