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通过卡尔曼滤波实现感应磁场测量中的无漂移积分。

Drift-Free Integration in Inductive Magnetic Field Measurements Achieved by Kalman Filtering.

作者信息

Arpaia Pasquale, Buzio Marco, Di Capua Vincenzo, Grassini Sabrina, Parvis Marco, Pentella Mariano

机构信息

Department of Electrical Engineering and Information Technology, University of Naples "Federico II", 80100 Naples, Italy.

Technology Department, European Organization for Nuclear Research (CERN), 1211 Geneva, Switzerland.

出版信息

Sensors (Basel). 2021 Dec 28;22(1):182. doi: 10.3390/s22010182.

DOI:10.3390/s22010182
PMID:35009722
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8749566/
Abstract

Sensing coils are inductive sensors commonly used to measure magnetic fields, such as those generated by electromagnets used in many kinds of industrial and scientific applications. Inductive sensors rely on integrating the output voltage at the coil's terminals in order to obtain flux linkage, which may suffer from the magnification of low-frequency noise resulting in a drifting integrated signal. This article presents a method for the cancellation of integrator drift. The method is based on a first-order linear Kalman filter combining the data from the coil and a second sensor. Two case studies are presented. In the first one, the second sensor is a Hall probe, which senses the magnetic field directly. In a second case study, the magnet's excitation current was used instead to provide a first-order approximation of the field. Experimental tests show that both approaches can reduce the measured field drift by three orders of magnitude. The Hall probe option guarantees, in addition, one order of magnitude better absolute accuracy than by using the excitation current.

摘要

感应线圈是一种电感式传感器,常用于测量磁场,比如许多工业和科学应用中使用的电磁铁所产生的磁场。电感式传感器依靠对线圈端子处的输出电压进行积分来获得磁链,这可能会受到低频噪声放大的影响,导致积分信号漂移。本文提出了一种消除积分器漂移的方法。该方法基于一阶线性卡尔曼滤波器,它将来自线圈和第二个传感器的数据结合起来。文中给出了两个案例研究。在第一个案例中,第二个传感器是一个霍尔探头,它直接感应磁场。在第二个案例研究中,使用磁铁的励磁电流来提供磁场的一阶近似值。实验测试表明,这两种方法都可以将测量到的磁场漂移降低三个数量级。此外,与使用励磁电流相比,霍尔探头选项保证了绝对精度提高一个数量级。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5633/8749566/9ea746ab6d46/sensors-22-00182-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5633/8749566/7bd72f000550/sensors-22-00182-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5633/8749566/e21c916f2e84/sensors-22-00182-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5633/8749566/852d15673686/sensors-22-00182-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5633/8749566/96ff315b32dd/sensors-22-00182-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5633/8749566/c2f41332e03c/sensors-22-00182-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5633/8749566/6ab282b21589/sensors-22-00182-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5633/8749566/a080399e6ce1/sensors-22-00182-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5633/8749566/9ea746ab6d46/sensors-22-00182-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5633/8749566/7bd72f000550/sensors-22-00182-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5633/8749566/e21c916f2e84/sensors-22-00182-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5633/8749566/852d15673686/sensors-22-00182-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5633/8749566/96ff315b32dd/sensors-22-00182-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5633/8749566/c2f41332e03c/sensors-22-00182-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5633/8749566/6ab282b21589/sensors-22-00182-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5633/8749566/a080399e6ce1/sensors-22-00182-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5633/8749566/9ea746ab6d46/sensors-22-00182-g008.jpg

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Dynamic Ferromagnetic Hysteresis Modelling Using a Preisach-Recurrent Neural Network Model.使用Preisach递归神经网络模型的动态铁磁滞回线建模
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4
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Sensors (Basel). 2019 Dec 11;19(24):5455. doi: 10.3390/s19245455.
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A Rotating-Coil Magnetometer for Scanning Transversal Field Harmonics in Accelerator Magnets.一种用于扫描加速器磁铁横向场谐波的旋转线圈磁力计。
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