DocumentCode :
3083223
Title :
Mechanical Resonance Modeling and Forecasting in Servo Systems Based on Vector Fitting
Author :
Rui Li ; Xuemei Ren
Author_Institution :
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
fYear :
2013
fDate :
21-23 July 2013
Firstpage :
66
Lastpage :
69
Abstract :
The transmission mechanisms in servo systems have finite stiffness, therefore the elastic deformation and the rotary inertia would cause mechanical resonance in servo systems. Based on the theoretical analysis of the mechanical resonance, the quantitative relation between transfer function of the resonance and system parameters (including torsional elastic coefficient and load rotary inertia) is built. In this paper, the rational approximation of mechanical resonance amplitude frequency characteristics is calculated by vector fitting method in the presence of known system parameter. With different given system parameters, the nonlinear mapping between system parameters and the transfer function of mechanical resonance through sample training is established through sample training. Therefore, the effective prediction of the transfer function of mechanical resonance with regards to the variation of servos conditions can be realized.
Keywords :
curve fitting; elastic deformation; elasticity; power transmission (mechanical); servomechanisms; torsion; transfer functions; elastic deformation; finite stiffness; load rotary inertia; mechanical resonance amplitude-frequency characteristics; mechanical resonance forecasting; mechanical resonance modeling; nonlinear mapping; quantitative relation; rational approximation; resonance parameters; rotary inertia; sample training; servo systems; system parameters; torsional elastic coefficient; transfer function; transmission mechanisms; vector fitting method; Approximation methods; Fitting; Mathematical model; Resonant frequency; Servomotors; Transfer functions; Vectors; BP neural network; mechancal resonance; servo systemis; vector fitting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanical and Automation Engineering (MAEE), 2013 International Conference on
Conference_Location :
Jiujang
Type :
conf
DOI :
10.1109/MAEE.2013.26
Filename :
6602139
Link To Document :
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