传感技术学报2018，Vol.31Issue(4)：562-566,5.DOI:10.3969/j.issn.1004-1699.2018.04.012
基于分段融合的压阻式传感器温度补偿方法
Temperature Compensation Method of Piezoresistive Sensor Based on Piecewise Fusion
摘要
Abstract
For the silicon piezoresistive pressure sensor in engineering applications by the ambient temperature and pressure to produce drift,affecting the measurement accuracy and other issues.A temperature compensation model based on improved particle swarm optimization RBF neural network and least squares method is proposed to realize compensation of the pressure sensor.The weights and thresholds of conventional RBF neural networks are optimized by particle swarm optimization algorithm.Improve the generalization performance and training efficiency of neural network,and enhance the effect of nonlinear temperature compensation of sensor.Application of Freescale 24PC pressure sensor for temperature compensation studied.The results showed that comparison of not improved neural network and least square method,using this method for temperature compensation overall time-consuming and the average error is lower than the other two methods.The output of the sensor over the entire temperature range and the pressure test point is substantially unaffected,compensation effect is obvious,data precision meets the requirements of the experiment.关键词
分段融合/粒子群算法/RBF神经网络/传感器/温度补偿Key words
Segmented fusion/particle swarm optimization/RBF neural network/sensor/temperature compensation EEACC:7230/2520C分类
信息技术与安全科学引用本文复制引用
王慧,赵国超,金鑫,宋宇宁..基于分段融合的压阻式传感器温度补偿方法[J].传感技术学报,2018,31(4):562-566,5.基金项目
国家青年自然科学基金项目(51405213) （51405213）
