基于多目标优化算法的大量程涡流传感器探头优化设计  

Optimal Design of Large-range Eddy Current Sensor Probe Based on Multi-objective Optimization Algorithm

作　　者：吴盟 袁杰 王坤东[1] 雷华明[1] WU Meng;YUAN Jie;WANG Kundong;LEI Huaming(School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University)

机构地区：[1]上海交通大学电子信息与电气工程学院

出　　处：《仪表技术与传感器》2024年第5期1-6,11,共7页Instrument Technique and Sensor

基　　金：国家重点研发计划(2021YFB3203104)。

摘　　要：在大量程涡流位移传感器测量系统中,探头线圈的几何参数直接关系到整个测量系统的性能。针对大量程涡流位移传感器探头线圈的优化设计,提出了一种基于多目标优化算法的设计方法。首先,通过COMSOL有限元仿真软件建立传感器探头模型,计算不同参数下线圈的归一化灵敏度和分辨力;其次,采用BP神经网络建立归一化灵敏度、分辨力与线圈参数之间的模型;最后,利用遗传算法进行多目标优化,获得最佳线圈参数。实验结果表明:优化后的传感器线圈,其归一化灵敏度与分辨力分别提高了0.02/mm和0.94μH,证明了所提出优化算法可以有效提升涡流传感器探头的性能指标。In the large-range eddy current displacement sensor measurement system,the geometric parameters of the probe coil directly affect the performance of the entire system.For the optimal design of the probe coil in large-range eddy current displacement sensors,a design method based on multi-objective optimization algorithm was proposed.Initially,the model of probe sensor was established using COMSOL finite element simulation software to calculate the normalized sensitivity and resolution of the coil under different parameters.Subsequently,a BP neural network was used to establish a model between normalized sensitivity,resolution,and coil parameters.Finally,genetic algorithm was utilized for multi-objective optimization to obtain the optimal coil parameters.Experimental results indicate that the normalized sensitivity and resolution of the optimized sensor coil is improved by 0.02/mm and 0.94μH,respectively,demonstrating that the proposed optimization algorithm can effectively enhance the performance indicators of the eddy current sensor probe.

关 键 词：涡流传感器 大量程 线圈参数 神经网络 多目标优化 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]