扁椭圆阵列霍尔传感器的载流导线偏心误差优化研究
Optimization of current carrying wire eccentricity for flat elliptic array Hall sensor
王宇劼 1唐玥 2李小康 1吴骏炎 1肖杨1
作者信息
- 1. 南京信息工程大学自动化学院 南京 210044
- 2. 南京信息工程大学自动化学院 南京 210044;无锡学院物联网工程学院 无锡 214105
- 折叠
摘要
在配电系统中,使用圆形阵列霍尔电流传感器进行电流检测具有较高的精度,然而汽车电子、航空航天等领域对仪器内部空间利用率要求较高,此时因其占用较大的空间会导致实用性降低.为解决这一问题,提出适用于扁椭圆(AR≥2)阵列霍尔传感器的误差优化算法.首先使用投影法将圆形阵列转化为AR=2及AR=4的椭圆形阵列,缩小传感器尺寸以节省空间;接着针对阵列传感器在电流检测过程中因载流导线偏心造成的测量误差进行分析,提出适用于扁椭圆阵列传感器的误差优化算法;最后对不同AR的椭圆阵列传感器进行导线偏心误差测试,并对误差优化算法进行验证.实验结果表明,椭圆阵列传感器的精度会随着AR的增大而降低,AR=4的椭圆阵列传感器最大相对误差达到33.36%,应用误差优化算法可将相对误差降至0.41%,满足测量精度的同时极大提升了实用性.
Abstract
In the power distribution system,the use of circular array Hall current sensor for current detection has a high accuracy,but the automotive electronics,aerospace and other fields require a high utilization rate of the internal space of the instrument,at this time because of its large space occupation will lead to practicality.To solve this problem,this paper proposes an error optimization algorithm for flat elliptic(AR≥2)array Hall sensors.Firstly,the circular array is transformed into AR=2 and AR=4 oval array by projection method,and the sensor size is reduced to save space.Secondly,the measurement errors caused by the eccentricity of the current carrying wire in the current detection process of the array sensor are analyzed,and the error optimization algorithm suitable for the flat elliptic array sensor is proposed.Finally,the wire eccentricity error of elliptic array sensors with different AR is tested,and the error optimization algorithm is verified.The experimental results show that the accuracy of the elliptic array sensor will decrease with the increase of AR.The maximum relative error of the elliptic array sensor with AR=4 can reach 33.36%,and the application of error optimization algorithm can reduce the relative error to 0.41%,which meets the measurement accuracy and greatly improves the practicability.
关键词
霍尔电流传感器/椭圆阵列/导线偏心误差/误差优化Key words
Hall current sensor/elliptical array/wire eccentricity error/error optimization引用本文复制引用
基金项目
2023年江苏省研究生实践创新计划(SJCX23_0388)
出版年
2024
NETL
NSTL
万方数据