Mass-spring-damper model optimized with PSO of the fluidic system in liquid-circular angular accelerometer

Huijin Fu, Meiling Wang, Siyuan Cheng, Tong Liu, Xuan Xiao, Mengyin Fu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper presents an optimized mass-spring-damper (MSD) model of the fluidic system in liquid-circular angular accelerometer (LCAA). The particle swarm optimization (PSO) is implemented to determine the parameters including stiffness of spring and damping coefficient in MSD model. The simulation results indicate that the proposed model manifests favorable consistency with the transient flow model whose validity has been proved. The influences of structure factors of LCAA, including radius of the tube and cross-sectional area of the tube, are analyzed in simulations, which are then verified by prototypes in experiments. The conclusions are used for structural optimum design. Eventually, the MSD model optimized with PSO is proved to be effective to predict frequency response of fluidic system.

Original languageEnglish
Title of host publicationI2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings
ISBN (Electronic)9781538634608
DOIs
Publication statusPublished - May 2019
Event2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019 - Auckland, New Zealand
Duration: 20 May 201923 May 2019

Publication series

NameI2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings
Volume2019-May

Conference

Conference2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019
Country/TerritoryNew Zealand
CityAuckland
Period20/05/1923/05/19

Keywords

  • Angular accelerometer
  • Mass-spring-damper model
  • Parameter optimization
  • Particle swarm optimization

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