Dynamic compensation for sensors based on particle swarm optimization and realization on LabVIEW  

基于粒子群算法的传感器动态补偿及LabVIEW实现(英文)

作　　者：张霞[1] 张志杰[1] 陈保立[1] 

机构地区：[1]中北大学信息与通信工程学院,山西太原030051

出　　处：《Journal of Measurement Science and Instrumentation》2014年第1期25-28,共4页测试科学与仪器（英文版）

摘　　要：In shock wave＇s pressure testing,a dynamic compensation digital filter is designed based on particle swarm optimization （PSO） algorithm.Dynamic calibration experiment and simulation are conducted for the pressure sensor.PSO algorithm is applied on Matlab platform to achieve optimization according to input and output data of the sensor as well as the reference model,and the global optimal values got by optimization become the parameters of the compensator.Finally,the dynamic compensation filter is established on LabVIEW platform.The experimental results show that the data after processing with the compensation filter truly reflects the input signal.

关 键 词：particle swarm optimization （PSO） dynamic compensation LABVIEW 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]