Dynamic Modeling of a Ball-Screw Drive and Identification of Its Installation Parameters

被引：5
|
作者：
Hu, Yu-Jia [1 ]
Wang, Yaoyu [1 ]
Zhu, Weidong [2 ]
Li, Haolin [1 ]
机构：
[1] Univ Shanghai Sci & Technol, Sch Mech Engn, Shanghai 200093, Peoples R China
[2] Univ Maryland Baltimore Cty, Dept Mech Engn, 1000 Hilltop Circle, Baltimore, MD 21250 USA
来源：
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME | 2021年 / 143卷 / 04期
基金：
中国国家自然科学基金;
关键词：
ball screw; equivalent stiffnesses; log-normal distribution; installation parameter identification; genetic algorithm (GA);
D O I：
10.1115/1.4048702
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Parametric expressions of equivalent stiffnesses of a ball-screw shaft are obtained by derivation of its geometric parameters, the finite element method (FEM), and data fitting based on a modified probability density function of log-normal distribution. A dynamic model of a ball-screw drive that considers effects of bearing stiffnesses, the mass of the nut, and the axial pretension is established based on equivalent stiffnesses of its shaft. With the dynamic model and modal experimental results obtained by Bayesian operational modal analysis (BOMA), installation parameters of the ball-screw drive are identified by a genetic algorithm (GA) with a new comprehensive objective function that considers natural frequencies, mode shapes, and flexibility of the ball-screw drive. The effectiveness of the methodology is experimentally validated.
引用
收藏
页数：16
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