基于粒子群算法的传感器动态补偿及Labview实现  

Dynamic Compensation of Sensor Based on Particle Swarm Optimization(pso) and the Realization of Labview

作　　者：张霞[1] 张志杰[1] 轩志伟[1] 

机构地区：[1]中北大学信息与通信工程学院

出　　处：《可编程控制器与工厂自动化（PLC FA）》2013年第5期33-35,共3页Programmable controller & Factory Automation(PLC & FA)

摘　　要：以冲击波压力测试为背景,介绍了一种基于粒子群优化算法(PSO)的动态补偿数字滤波器的设计方法。针对压力传感器进行了动态校准实验研究和计算机仿真研究,根据传感器动态标定时的输入输出数据及参考模型,利用粒子群优化算法进行寻优,得到的全局最优值即为传感器动态补偿器的系数,最后在LabVIEW平台实现了动态补偿滤波器的设计,实验结果表明经过补偿器处理后的数据很好的反应了输入的被测信号。With shock wave pressure test as the background, the paper introduces a dynamic compensation digital filter design methods based on particle swarm optimization algorithm （PSO）. With the dynamic calibration experimental study and computer simulation of pressure sensor, according to the dynamic calibration of sensor input and output data and reference model, using particle swarm optimization algorithm to optimization, get the global optimal value is the coefficient of dynamic compensator for the sensor, and finally in the LabVIEW platform has realized the dynamic compensation filter design, the experimental results show that the data dealt with the compensator has a good response to the measured signal input.

关 键 词：粒子群算法 动态补偿 LABVIEW 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]