|本期目录/Table of Contents|

[1]王 宁,张子建,许 峻.基于磁弹效应的电动舵机压力传感器设计[J].工业仪表与自动化装置,2024,(02):54-60+117.[doi:DOI:10.19950/j.cnki.CN61-1121/TH.2024.02.010]
　WANG Ning,ZHANG Zijian,XU Jun.Design of electric servo pressure sensor based on magnetoelastic effect[J].Industrial Instrumentation & Automation,2024,(02):54-60+117.[doi:DOI:10.19950/j.cnki.CN61-1121/TH.2024.02.010]
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基于磁弹效应的电动舵机压力传感器设计(PDF)

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2024年02期
页码:
54-60+117
栏目:
出版日期:
2024-04-15

文章信息/Info

Title:
Design of electric servo pressure sensor based on magnetoelastic effect
文章编号:
1000-0682（2024）02-0054-07
作者:
王 宁; 张子建; 许 峻
(南京航空航天大学 航天学院, 江苏 南京 210016）
Author(s):
WANG Ning; ZHANG Zijian;  XU Jun
（Astronautics College, Nanjing University of Aeronautics and Astronautics, Jiangsu Nanjing 210016, China)
关键词:
压力传感器; 磁弹效应; 舵机; 电动缸
Keywords:
force sensor;  magnetoelastic effect;  steering engine;  electric cylinder
分类号:
TP212.1
DOI:
DOI:10.19950/j.cnki.CN61-1121/TH.2024.02.010
文献标志码:
A
摘要:
为了实现对电动舵机的电动缸输出轴压力的动态测量，该文设计并实现了一种基于磁弹效应的非接触式压力传感器，它包括传感器探头和信号处理电路两部分。该文首先从磁致伸缩的理论模型中分析并建立了传感器的测量原理，设计了传感器探头的结构。为优化激励源，通过实验研究分析了不同的激励源对传感器信号的影响，结果表明采用105 kHz、幅值为5 V的方波作为激励源时传感器输出信号最优，并以此设计了传感器信号电路。通过对传感器整体的压力标定实验得到传感器灵敏度为0.294 mV/N，重复性误差为3.53%，在运用三阶多项式拟合对传感器输入输出曲线进行校正后得到传感器的非线性误差为1.76%，适用于承压较大的电动缸输出轴及其他大重量设备的动态压力测量。
Abstract:
To achieve dynamic measurement of the output shaft pressure of the electric cylinder of the electric servo, this paper designs and implements a non-contact pressure sensor based on the magneto elastic effect, which includes two parts: a sensor probe and a signal processing circuit. This paper first analyzes and establishes the measurement principle of the sensor from the theoretical model of magnetostriction, and then designs the structure of the sensor probe. To optimize the excitation source, the influence of different excitation sources on the sensor signal is analyzed through experimental research. The results indicate that employing a 105 kHz square wave with an amplitude of 5 V as the excitation source contributes to the optimal output signal of the sensor. Based on this phenomenon, the sensor signal circuit is designed. Through the pressure calibration experiment of the sensor as a whole, the sensitivity of the sensor can reach 0.294 mV/N, and the repeatability error is 3.53%. After correcting the input and output curves of the sensor using third-order polynomial fitting, the nonlinear error of the sensor achieves 1.76%, which is suitable for dynamic pressure measurement of electric cylinder output shafts and other heavy equipment with high pressure.

参考文献/References:

[1] 陈潇, 邓攀, 安宁, 等. 双缸推动型船舶电动舵机的同步控制技术[J]. 船舶工程, 2018, 40(05): 68-71+76.

[2] 徐维, 邓攀, 夏占, 等. 电动舵机核心部套件结构仿真[J]. 机电设备, 2021, 38(02): 29-34.
[3] 王安明,孟建军,祁文哲等.超磁致伸缩激振器的性能指标与测试技术研究[J].工业仪表与自动化装置,2020(05):105-110.
[4] 万丽丽, 王博文, 袁进峰. 磁致伸缩触觉传感器与织物表面纹理检测[J]. 传感器与微系统, 2023, 42(02): 109-113.
[5] 胡孝阳, 段元锋, 魏巍, 等. 高钒索索力监测电磁弹传感器的研发与应用[J]. 结构工程师, 2021, 37(02): 78-83.
[6] WANG T Z, ZHOU Y H. A nonlinear transient constitutive model with eddy current effects for giant magnetostrictive materials[J]. Journal of Applied Physics, 2010, 108(12): 13-20.
[7] ZHAN Y S, LIN C. A constitutive model of coupled magneto-thermo-mechanical hysteresis behavior for giant magnetostrictive materials[J]. Mechanics of Materials, 2020, 148: 103477.
[8] KIM S, KIM K, CHOE K, et al. A nonlinear magneto-mechanical coupling model for magnetization and magnetostriction of ferromagnetic materials[J]. AIP Advances, 2020, 10(8).
[9] 胡继敏, 郭峰, 赵祯，等. 温度对扭矩传感器弹性体17-4PH特性的试验[J]. 船舶工程, 2023, 45(S1): 406-411.
[10]冯张彬,熊福敏,王健，等.MEMS多晶硅纳米膜压力传感器过载能力设计[J].工业仪表与自动化装置,2023(04):89-92+97.

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备注/Memo

备注/Memo:
收稿日期：2023-12-07基金项目：机器人技术与系统全国重点实验室开放课题（SKLRS-2022-KF-19）第一作者: 王宁(1999—)，男，汉，安徽安庆人，硕士研究生，研究方向为磁弹式传感器设计。通信作者: 张子健(1984—)，男，汉，山东德州人，副研究员，硕士生导师，研究方向为机器人技术，机电一体化技术等。
更新日期/Last Update: 1900-01-01