传感技术学报Issue(10)：1363-1367,5.DOI:10.3969/j.issn.1004-1699.2014.10.011
基于最小二乘与粒子群算法的压力传感器动态补偿方法
Dynamic Compensation Method Based on Least Squares Algorithm and Particle Swarm Optimization for Pressure Sensor
轩春青 1轩志伟 2陈保立3
作者信息
- 1. 郑州成功财经学院信息工程系，河南 巩义451200
- 2. 郑州大学信息工程系，郑州450001
- 3. 中北大学电子测试技术国防重点实验室，太原030051
- 折叠
摘要
Abstract
In order to correct the error caused by dynamic characteristics of sensor by using simplified model,a de￣sign method of dynamic compensator based on least square method( LSM)&particle swarm optimization( PSO) algo￣rithm is presented. Using the least square method to identify the optimal order of the sensor,which used as the order of the compensator,an analysis about the dynamic characteristics of the sensor is made in the time domain and fre￣quency domain. Experimental results show that this method can effectively reduce the dynamic measurement error of the sensor.关键词
动态误差补偿/阶次识别/最小二乘与粒子群优化算法/频带拓展Key words
dynamic error compensation/order identification/least square method&PSO algorithm/band expansion分类
信息技术与安全科学引用本文复制引用
轩春青,轩志伟,陈保立..基于最小二乘与粒子群算法的压力传感器动态补偿方法[J].传感技术学报,2014,(10):1363-1367,5.
