Identification of axial dynamic characteristic parameters of ball screw feed system

Abstract

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

CLC Number:

TH113

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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