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电动驱动的现场校准:使用多相系统的案例研究

On-Site Calibration of an Electric Drive: A Case Study Using a Multiphase System.

作者信息

Soto-Marchena David, Barrero Federico, Colodro Francisco, Arahal Manuel R, Mora Jose L

机构信息

Department of Electronic Engineering, University of Seville, 41092 Seville, Spain.

Department of System Engineering and Control, University of Seville, 41092 Seville, Spain.

出版信息

Sensors (Basel). 2023 Aug 22;23(17):7317. doi: 10.3390/s23177317.

DOI:10.3390/s23177317
PMID:37687771
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10489749/
Abstract

Modern electric machines are attracting great interest from the research community as a result of the increasing number of current applications, including electric vehicles and wind power generators, among others. Different machines, power converters, and control technologies are used, and the number of sensors is usually minimized to reduce the total cost of the system. Particularly interesting are the current and speed sensors, which are essential to the normal functioning of the entire system. This work analyzes different calibration techniques of these sensors, using as a case example a five-phase induction motor drive. Experimental results are included to show the influence of calibration techniques on the system analyzed. The obtained results can be extrapolated to any other similar system.

摘要

由于当前应用(包括电动汽车和风力发电机等)的数量不断增加,现代电机正吸引着研究界的极大兴趣。人们使用了不同的电机、功率转换器和控制技术,并且通常会尽量减少传感器的数量以降低系统的总成本。特别值得关注的是电流传感器和速度传感器,它们对于整个系统的正常运行至关重要。这项工作分析了这些传感器的不同校准技术,以五相感应电机驱动为例进行说明。文中还包含实验结果,以展示校准技术对所分析系统的影响。所获得的结果可以外推到任何其他类似系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f5/10489749/efcdc0614def/sensors-23-07317-g018.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f5/10489749/953c3f24a184/sensors-23-07317-g010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f5/10489749/f14254ed6d18/sensors-23-07317-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f5/10489749/20f5c67a331e/sensors-23-07317-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f5/10489749/efcdc0614def/sensors-23-07317-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f5/10489749/ba2e69148dbb/sensors-23-07317-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f5/10489749/df8092f791c2/sensors-23-07317-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f5/10489749/3e84573df9b4/sensors-23-07317-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f5/10489749/4cb14d797aee/sensors-23-07317-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f5/10489749/c0b6ea6bfef2/sensors-23-07317-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f5/10489749/953c3f24a184/sensors-23-07317-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f5/10489749/16c76057bf07/sensors-23-07317-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f5/10489749/72ea3f113252/sensors-23-07317-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f5/10489749/791aae6a6d71/sensors-23-07317-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f5/10489749/74a7428673dd/sensors-23-07317-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f5/10489749/b9f5660fbc6e/sensors-23-07317-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f5/10489749/f14254ed6d18/sensors-23-07317-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f5/10489749/20f5c67a331e/sensors-23-07317-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f5/10489749/efcdc0614def/sensors-23-07317-g018.jpg

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ISA Trans. 2019 Oct;93:1-13. doi: 10.1016/j.isatra.2019.03.022. Epub 2019 Apr 2.