Energy Self-Sufficient Wireless Sensor Node for Inertial Measurements on Wind Turbine Blades

Eike Grundkötter, J. Melbert
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引用次数: 1

Abstract

In this paper an energy-autonomous system for wind turbine blade deflection measurement is presented. Monitoring the blade deflection enables the possibility to avoid tower striking, reduce maintenance costs and optimize control parameters. The system consists of one or multiple nodes for motion tracking using inertial measurements and a stationary receiver. The nodes are designed to continuously measure acceleration and angular rate. The raw measurements are transmitted periodically to a base station where further signal processing takes place. The sensor node is developed for application inside a wind turbine blade without accessibility to external power supply. Therefore, an electromagnetic energy harvester has been developed to make use of the wind turbine blade rotation. The requirement of low power consumption is fulfilled by using the latest MEMS sensor technology in combination with an optimized wireless communication protocol based on IEEE 802.15.4 standard and a low power microcontroller. A 100Hz sample rate of the inertial measurement unit (IMU) results in a wireless data stream of 10.8kBits−1 and a total power consumption less than 1.5mW. The blade trajectory can be reconstructed using an algorithm based on Extended Kalman Filters.
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风力涡轮机叶片惯性测量能量自给无线传感器节点
提出了一种风力机叶片挠度能量自主测量系统。监测叶片偏转可以避免撞塔,降低维护成本并优化控制参数。该系统由一个或多个节点组成,用于使用惯性测量和固定接收器进行运动跟踪。这些节点被设计成连续测量加速度和角速度。原始测量值周期性地传输到基站,在那里进行进一步的信号处理。该传感器节点是为在没有外部电源的风力涡轮机叶片内应用而开发的。因此,开发了一种利用风力发电机叶片旋转的电磁能量采集器。采用最新的MEMS传感器技术,结合基于IEEE 802.15.4标准的优化无线通信协议和低功耗微控制器,满足了低功耗的要求。在100Hz采样率下,惯性测量单元(IMU)的无线数据流为10.8kBits−1,总功耗小于1.5mW。采用基于扩展卡尔曼滤波的算法对叶片轨迹进行重构。
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