MEMS陀螺仪传感器用于风力涡轮机叶片尖端偏转测量

2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2013-05-06 DOI:10.1109/I2MTC.2013.6555706

Xu Fu, Lihan He, Hai Qiu

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引用次数: 13

摘要

实时监测风力发电机组的叶尖挠度，可以防止因叶片撞击塔架而造成的灾难性故障。本文提出了一种基于mems的陀螺仪传感器来测量风力机叶片叶尖挠度。提出了一种基于神经网络模型的基于三维陀螺仪数据的叶尖偏转估计方法。该系统已在一台旋转直径100米的1.6MW风力发电机组上进行了现场试验。为了评估测量精度，还在风力机塔架外部安装了激光测距仪，以给出叶片尖端对塔架间隙的参考值。

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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MEMS gyroscope sensors for wind turbine blade tip deflection measurement

Monitoring the blade tip deflection of wind turbines in real time could prevent catastrophic failures caused by blade striking the tower. In this paper, a MEMS-based gyroscope sensor is proposed to measure the wind turbine blade tip deflection. A neural network model-based estimation method is developed to estimate the blade tip deflection from 3-dimensional gyroscope data. The proposed system is validated by field test in a 1.6MW wind turbine with 100-meters rotating diameter. To evaluate the measurement accuracy, a laser distance finder is also installed on the wind turbine tower outside to give a reference value of the blade tip to tower clearance.

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2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

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