Development of Anemometer Based on Inertial Sensor.

IF 3 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL Micromachines Pub Date : 2024-09-25 DOI:10.3390/mi15101186
Álvaro B Rocha, Eisenhawer de M Fernandes, Joyce I V Souto, Ricardo S Gomez, João M P Q Delgado, Felipe S Lima, Railson M N Alves, André L D Bezerra, Antonio G B Lima
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Abstract

The current article elucidates a study centered on the development of an anemometer leveraging an inertial sensor for wind speed measurement in the northeast region of Brazil, focusing on renewable energy generation. The study encompassed a series of experiments aimed at calibrating the anemometer, analyzing the noise generated by the inertial sensor, and scrutinizing the data acquired during wind speed measurement. The calibration process unfolded in three stages: initial noise analysis, subsequent inertial data analysis, and the derivation of calibration curves. The first two stages involved experiments conducted at an average sampling rate of 10 Hz. Simultaneously, the third stage incorporated data collected over a 1 h duration while maintaining the same sampling rate. The outcomes underscore the suitability of the anemometer based on an inertial sensor for wind energy systems and diverse applications. While the wind readings from the prototype exhibit considerable fluctuations, a three-length moving average filter is applied to the prototype's output to mitigate these fluctuations. The calibration surface was established using observational data, and the resultant surface is detailed. Data analysis assumes paramount significance in wind speed measurement, and the K-NN algorithm demonstrated superior efficacy in estimating the correspondence between measured and control data.

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开发基于惯性传感器的风速计
本文阐释了一项研究,其核心是开发一种风速计,利用惯性传感器测量巴西东北部地区的风速,重点关注可再生能源发电。该研究包括一系列实验,旨在校准风速计、分析惯性传感器产生的噪音以及仔细检查风速测量过程中获取的数据。校准过程分为三个阶段:最初的噪声分析、随后的惯性数据分析和校准曲线的推导。前两个阶段涉及以 10 Hz 的平均采样率进行的实验。与此同时,第三阶段在保持相同采样率的情况下收集了 1 小时的数据。实验结果表明,基于惯性传感器的风速计适用于风能系统和各种应用。虽然原型机的风力读数会出现相当大的波动,但对原型机的输出应用了三长移动平均滤波器,以减少这些波动。利用观测数据建立了校准面,并详细介绍了校准面的结果。数据分析对风速测量至关重要,K-NN 算法在估计测量数据和控制数据之间的对应关系方面表现出卓越的功效。
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来源期刊
Micromachines
Micromachines NANOSCIENCE & NANOTECHNOLOGY-INSTRUMENTS & INSTRUMENTATION
CiteScore
5.20
自引率
14.70%
发文量
1862
审稿时长
16.31 days
期刊介绍: Micromachines (ISSN 2072-666X) is an international, peer-reviewed open access journal which provides an advanced forum for studies related to micro-scaled machines and micromachinery. It publishes reviews, regular research papers and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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