互感谐振耦合式电涡流扭矩传感器设计与研究  

Design and Research of Torque Sensor with Mutual Inductance Resonant Coupling Based on Eddy Current Effect

作　　者：陈希良 谢正宇 李宁 CHEN Xi-liang;XIE Zheng-yu;LI Ning(School of Mechanical Engineering and Automation,Zhejiang Sci-Tech University,Hangzhou 310018,China;School of Aeronautical Engineering,Taizhou University,Taizhou 318000,China)

机构地区：[1]浙江理工大学机械与自动控制学院,浙江杭州310018 [2]台州学院航空工程学院,浙江台州318000

出　　处：《仪表技术与传感器》2023年第3期10-17,共8页Instrument Technique and Sensor

基　　金：浙江省自然科学基金(LQ20E050011)。

摘　　要：为进一步提升基于涡流效应的电磁扭矩传感器灵敏度,文中以互感线圈为研究对象,根据传感器工作原理及线圈耦合谐振等效电路模型,提出一种以最优互感线圈耦合效率为目标的优化方法。选用平面螺旋线圈作为传感器激励线圈,通过单因素实验法和中心复合实验原理建立多元二次响应面模型,由灰狼优化算法(GWO)获得最优传感器结构参数并进行样机试制。经仿真与实验验证,优化后传感器仿真互感线圈耦合效率为37.465%,仿真输出电压峰值为841.5862 mV,分别为初始对照组的3.007、2.421倍,仿真线性度为0.432%,在较粗糙的装配、定位条件下,传感器实际量程为0~±50 N·m,灵敏度为14.438 mV/(N·m),线性度为2.4%。To improve the sensitivity of the electromagnetic torque sensor based on eddy current effect,this paper took mutual inductance coil as the research object,based on the sensor working principle and the coil resonant coupling equivalent circuit model,the optimization method was proposed for optimizing the coupling efficiency of the mutual inductive coil.The planar spiral coil was adopted as the sensor excitation coil.The multivariate quadratic response surface model was established by employing the single-factor experimental method and the central composite experimental principle.The GWO algorithm was used to calculate the optimal sensor structure parameters.The prototype was manufactured.The simulation results indicate that the coupling efficiency of the sensor simulation mutual inductance coil is 37.465%,and the simulation output voltage peak is 841.5862 mV after optimization,which are 3.007 times and 2.421 times of their initial control group values respectively and the simulation linearity is 0.432%.Under rough assembly and positioning conditions,the actual range of the sensor is 0~±50 N·m,the sensitivity is 14.438 mV/(N·m),and the linearity is 2.4%.

关 键 词：扭矩传感器 涡流效应 互感谐振耦合 耦合效率 响应面法 GWO算法 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]