流门电流传感器的设计基于磁化停留时间和神经网络
Jingjie Li1,2, Wei Ren1,2, Yanshou Luo3
1Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education, Dalian University of Technology, Dalian 116024, China.
Sensors (Basel, Switzerland)
|June 27, 2024
概括
这种新型的流通门电流传感器使用磁化停留时间和神经网络来显著减少线性误差和环境磁干扰. 它提供了一个紧的设计,提高了准确度,用于精确的电流测量.
科学领域:
- 电气工程 电气工程
- 传感器技术 传感器技术
- 应用物理 应用物理
背景情况:
- 传统的电流传感器面临着线性误差和易受环境磁干扰的挑战.
- 现有的干扰抑制方法往往会损害测量范围或精度.
研究的目的:
- 开发一种新型的流通门电流传感器,其精度和干扰抑制能力得到提高.
- 为了利用磁化停留时间和神经网络来提高当前传感性能.
主要方法:
- 采用了一个紧的,环形的流门传感器设计.
- 使用全波整形和施密特触发电路检测磁化停留时间.
- 使用双层前神经网络来处理传感器信号.
- 分析了一种独特的磁化配置 (M波) 以抑制干扰.
主要成果:
- 传感器在15A测量范围内实现了0.054%的线性误差.
- 与传统的居住时间差传感器相比,线性误差减少了40倍以上.
- 有效测量范围扩大了150%.
- 环境磁干扰的显著减少被证明.
结论:
- 拟议的流门电流传感器在线性和干扰抑制方面提供了卓越的性能.
- 磁化停留时间和神经网络的整合为先进的电流传感提供了一个有希望的方法.
- 新的M波现象有效地增强了干扰抑制能力.
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