南京理工大学学报（自然科学版）Issue(1)：22-26,5.
基于虚拟仪器的非稳态流管道参数辨识
Pipeline parameter identification of non-stationary flows based on LabVIEW
摘要
Abstract
To realize pipeline supervisory control,a monitoring system is established for signal trans-mission,data acquisition, data recording, real-time signal display and so on by using an embeded measurement and control platform CompactRIO with laboratory virtual instrument engineering workbench( LabVIEW ) which can be configured renew. According to the initial conditions and boundary conditions,the distributions of velocities and pressures for a pipeline model are calculated using the method of characteristics. The parameters are identified using the particle swarm optimization algorithm,and the calculation and measurement results are compared. The results show that the measurement values are approximate to the theoretic values of parameter identification,which shows the effectiveness of the method.关键词
虚拟仪器/非稳态流/管道/参数辨识/粒子群优化Key words
laboratory virtual instrument engineering workbench/non-stationary flows/pipelines/parameter identification/particle swarm optimization分类
信息技术与安全科学引用本文复制引用
徐巍华,陈特欢,许超,谢磊,王史春,方小生..基于虚拟仪器的非稳态流管道参数辨识[J].南京理工大学学报（自然科学版）,2014,(1):22-26,5.基金项目
国家自然科学基金(F030119-61104048) （F030119-61104048）
中央高校基本科研业务费专项资金 （）
高等学校访问学者教师专业发展项目(FX2012121) （FX2012121）
