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
吴盟 1袁杰 1王坤东 1雷华明1
作者信息
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0.94 μH,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.
Abstract
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 dis-placement 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 0.94 μH,respectively,demonstrating that the proposed optimization algorithm can effectively enhance the perform-ance 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Key words
eddy current sensor/wide range/coil parameters/neural network/multi-objective optimization引用本文复制引用
基金项目
国家重点研发计划(2021YFB3203104)
出版年
2024
NETL
NSTL
万方数据