System identification of force transducers for dynamic measurements using particle swarm optimization

被引：1

作者：

Lu, Jianshan ^{[1
,2
]}

机构：

[1] Zhejiang Univ Technol, Vehicle Engn Res Inst, Hangzhou 310014, Zhejiang, Peoples R China

[2] Nanjing Univ Sci & Technol, Minist Educ, Key Lab Intelligent Percept & Syst High Dimens In, Nanjing 210094, Jiangsu, Peoples R China

来源：

JOURNAL OF VIBROENGINEERING | 2017年 / 19卷 / 02期

基金：

中国国家自然科学基金;

关键词：

force transducer; system identification; dynamic calibration; sinusoidal force; PSO; PARAMETERS IDENTIFICATION; ALGORITHM; CALIBRATION;

D O I：

10.21595/jve.2017.17744

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

A method of system identification for force transducers against the oscillation force is developed. In this method, force transducers are equipped with an additional top mass and excited by a facility with the sine mechanism. Particle swarm optimization (PSO) algorithm is employed to identify the parameters of the derived mathematical models. For improving the convergence speed of PSO, exponential transformation is introduced to the fitness function. Subsequently, numerical simulations and experiments are carried out, and consistent results demonstrate that the identification method proposed in this investigation is feasible and efficient for estimating the transfer functions from sinusoidal force calibration measurements.

引用

页码：864 / 877

页数：14

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