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Dynamic compensation for sensors based on particle swarm optimization and realization on LabVIEW 被引量:1

基于粒子群算法的传感器动态补偿及LabVIEW实现(英文)
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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.
出处 《Journal of Measurement Science and Instrumentation》 CAS 2014年第1期25-28,共4页 测试科学与仪器(英文版)
关键词 particle swarm optimization (PSO) dynamic compensation LABVIEW 粒子群算法 动态补偿 LabVIEW
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