传感技术学报2017，Vol.30Issue(4)：550-554,5.DOI:10.3969/j.issn.1004-1699.2017.04.011
基于改进QR-PSO算法的压力传感器的动态补偿方法
The Dynamic Compensation Method Based on ImprovingQR-PSO Algorithm for Pressure Sensor
魏娟 1张志杰 1杨文杰 1赵晨阳1
作者信息
- 1. 中北大学仪器科学与动态测试教育部重点实验室,太原 030051
- 折叠
摘要
Abstract
Aiming at the problem that the dynamic characteristics of the pressure sensor can not meet the requirements of the test in practical application,using the shock tube to calibrate the pressure sensor dynamically,obtain the experimental samples,and then estimate the inverse model.A design method of constructing compensation system based on QR decomposition and improving particle swarm optimization(PSO)algorithm.The QR decomposition is used to determine the order of the model,which reduces the dynamic compensation operation error caused by the simplifying the sensor model,combined with the improved particle swarm optimization algorithm,the compensation coefficient is determined efficiently and intelligently.By verifying the repeatability of the compensation system through the measured samples,the experimental results show that the dynamic response of the pressure sensor is improved significantly and the compensation effect is satisfactory.关键词
压力传感器/QR分解/粒子群优化算法(PSO)/动态补偿Key words
pressure sensor/QR decomposition/particle swarm optimization(PSO)algorithm/dynamic compensation分类
信息技术与安全科学引用本文复制引用
魏娟,张志杰,杨文杰,赵晨阳..基于改进QR-PSO算法的压力传感器的动态补偿方法[J].传感技术学报,2017,30(4):550-554,5.
