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

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

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.

源语言英语
主期刊名I2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings
ISBN(电子版)9781538634608
DOI
出版状态已出版 - 5月 2019
活动2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019 - Auckland, 新西兰
期限: 20 5月 201923 5月 2019

出版系列

姓名I2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings
2019-May

会议

会议2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019
国家/地区新西兰
Auckland
时期20/05/1923/05/19

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