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Magnetic Tensor Sensor for Gradient-Based Localization of Ferrous Object in Geomagnetic Field

机译:磁张量传感器用于地磁场中基于梯度的黑色物体定位

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摘要

This paper presents a gradient-based method, along with the design concept, characteristics, and operating range of a magnetic tensor sensor (MTS), for locating and identifying a ferrous/magnetic object in the presence of geomagnetic field. This method characterizes the magnetic moment $M$ and position vector $R$ of a ferrous/magnetic object in terms of two scalar parameters (an orientation-insensitive $P$ and a distance-insensitive $gamma )$ derived from the measured magnetic tensor data. These scalar parameters offer an excellent alternative to the traditional ( $M$ and $R)$ in characterizing a magnetic object with an arbitrary shape for some applications when the dipole model is a poor approximation. With a prototype MTS that has been developed and experimentally validated, the effectiveness and accuracy of the gradient-based method are demonstrated with two different types of compact objects. The first object is a uniformly magnetized cylindrical permanent magnet, commonly used as an engineered landmark for machine applications, where the interest is to accurately determine $M$ and/or $R$ . The second object is an example of a general ferrous object with a non-uniform shape to illustrate the detection and approximate localization of a ferrous object for applications such as visually impaired assistance.
机译:本文提出了一种基于梯度的方法,以及磁张量传感器(MTS)的设计概念,特征和工作范围,用于在存在地磁场的情况下定位和识别铁/磁性物体。该方法用两个标量参数(从测量的磁张量导出的对方向不敏感的$ P $和对距离不敏感的$ gamma)$表征铁/磁性物体的磁矩$ M $和位置矢量$ R $数据。这些标量参数为传统应用($ M $和$ R)$提供了极好的替代方案,可在偶极子模型不太理想的情况下为某些应用表征具有任意形状的磁性物体。借助已开发并经过实验验证的MTS原型,可以通过两种不同类型的紧凑对象展示基于梯度的方法的有效性和准确性。第一个对象是均匀磁化的圆柱型永磁体,通常用作机器应用的工程界标,其中的重点是准确确定$ M $和/或$ R $。第二个对象是形状不均匀的普通铁质对象的示例,以说明对诸如视觉受损辅助应用的铁质对象的检测和近似定位。

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