Title
Mass-Spring-Damper Model Optimized with PSO of the Fluidic System in Liquid-Circular Angular Accelerometer
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.
Year
DOI
Venue
2019
10.1109/I2MTC.2019.8826901
2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
Keywords
Field
DocType
angular accelerometer,parameter optimization,particle swarm optimization,mass-spring-damper model
Particle swarm optimization,Fluidics,Frequency response,Stiffness,Control theory,Accelerometer,Data flow model,Control engineering,Mass spring damper,Engineering
Conference
ISSN
ISBN
Citations 
2642-2069
978-1-5386-3461-5
0
PageRank 
References 
Authors
0.34
1
6
Name
Order
Citations
PageRank
Huijin Fu100.34
meiling wang284.54
Siyuan Cheng303.04
tong liu43921.53
Xuan Xiao514421.28
Mengyin Fu681460.59