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适应性算法用于磁传感器的快速3D表征.

Moritz Boueke1, Johannes Hoffmann1, Mark Ellrichmann2

  • 1Department of Electrical and Information Engineering, Faculty of Engineering, Kiel University, 24143 Kiel, Germany.

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概括
此摘要是机器生成的。

这项研究引入了一种使用自适应系统识别来表征磁传感器的新方法. 这种方法可以更快,更准确地分析传感器的定向性和频率响应.

关键词:
在NLMS中控制NLMS的控制.适应性过器是一种适应性过器.导向性指导性指导性估计算法估计算法频率响应的频率响应是什么冲动反应是一种冲动反应.磁场的方向盘磁场的方向盘.磁传感器的特征描述

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科学领域:

  • 物理 物理学 物理
  • 工程 工程师 工程师 工程师
  • 地质物理学 地质物理学

背景情况:

  • 磁传感器对于临床和工业应用至关重要,包括定位和地质调查.
  • 了解它们的空间行为是准确建模和解决反向问题的关键.

研究的目的:

  • 通过自适应式系统识别,提出一种用于磁传感器的新型表征方法.
  • 分析传感器的定向性和频率响应在1D,2D和3D.

主要方法:

  • 利用基于梯度的算法来估计冲动和频率响应.
  • 开发了一个三轴的海尔姆霍尔茨线圈设置,以生成一个3D指令场.
  • 采用基于收缩扩张方法 (CEA) 的控制算法来进行自适应系统识别.

主要成果:

  • 实现了更快的融合和更小的估计和测量之间的系统距离.
  • 证明了高效的冲动响应估计,每方向运行时间低于1.5秒.
  • 验证了频率和定向性特征的拟议方法.

结论:

  • 新的自适应系统识别方法使磁传感器的可行和高效表征成为可能.
  • 基于CEA的控制显示了控制适应和提高准确性的优势.
  • 这种方法对推进需要精确磁传感器分析的应用具有重大潜力.