滚珠丝杠进给系统轴向动态特性参数识别

兰州理工大学学报 ›› 2022, Vol. 48 ›› Issue (5): 52-58.

滚珠丝杠进给系统轴向动态特性参数识别

吴沁^*, 谌国章

兰州理工大学机电工程学院, 甘肃兰州 730050

收稿日期:2021-07-12 出版日期:2022-10-28 发布日期:2022-11-21
通讯作者: 吴沁(1973-),女,安徽颍上人,博士,副教授. Email:qwu.1973@hotmail.com
基金资助:
国家自然科学基金(51765039)

Identification of axial dynamic characteristic parameters of ball screw feed system

WU Qin, CHEN Guo-zhang

School of Mechanical and Electrical Engineering, Lanzhou Univ. of Tech., Lanzhou 730050, China

Received:2021-07-12 Online:2022-10-28 Published:2022-11-21

摘要/Abstract

摘要： 针对滚珠丝杠进给系统轴向动态特性参数识别问题,提出在装配状态下辨识滚动结合部参数的新方法.首先,将左、右轴承副和丝杠螺母副简化为集中弹簧-阻尼单元,滚珠丝杠简化为弹性杆件,建立简谐激振力作用下系统的轴向刚度和阻尼参数辨识方程组.然后,根据激振力幅值、频率、各支撑点之间的距离和测量处的振幅等参数建立优化目标函数,采用粒子群遗传混合算法识别出轴向动态特性参数.研究结果表明,进给系统刚度和阻尼参数的辨识误差在2.56%以内,从而验证了该方法的正确性和有效性.

关键词: 滚珠丝杠进给系统, 刚度, 阻尼, 粒子群遗传混合算法

Abstract: Aiming at the problem of identifying the parameters of the axial dynamic characteristics of the ball screw feed system, a new method for identifying the parameters of the rolling joints in the assembled state is proposed. First, the left and right bearing pairs and screw nut pairs are simplified into concentrated spring-damping elements, and the ball screws are simplified into elastic rod. The system's axial stiffness and damping parameter identification equations under the action of simple harmonic excitation force are established. Then, based on the excitation force amplitude, frequency, the distance between each support point and the amplitude of the measuring point, the optimization objective function is established, using the particle swarm genetic hybrid algorithm to identify the axial dynamic characteristic parameters. The research results show that the identification error of the stiffness and damping parameters of the feed system is within 2.56%, which verifies the correctness and effectiveness of the method.

Key words: ball screw feed system, stiffness, damping, particle swarm genetic hybrid algorithm

中图分类号:

TH113

吴沁, 谌国章. 滚珠丝杠进给系统轴向动态特性参数识别[J]. 兰州理工大学学报, 2022, 48(5): 52-58.

WU Qin, CHEN Guo-zhang. Identification of axial dynamic characteristic parameters of ball screw feed system[J]. Journal of Lanzhou University of Technology, 2022, 48(5): 52-58.

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