Workspace analysis and trajectory tracking of a planar hybrid manipulator with ball screw feed drive

Author(s):  
Rashmi Arora ◽  
Dharmveer Agarwal ◽  
Tarun Kumar Bera
2012 ◽  
Vol 226-228 ◽  
pp. 607-612
Author(s):  
Yong Qiang Wang ◽  
Cheng Rui Zhang ◽  
Yue Zhang

In order to obtain a second-order mathematical model of the ball screw feed drive systems in the designing stage, this paper proposed a simulation modeling method based on model reference adaptive system. In this method, a parallel model reference adaptive system, which regarded the mechanical model as the reference model and regarded a second-order model as the adjustable model, was designed use only input and output measurements based on Popov’s hyperstability theory. And the second-order model’s parameters could be achieved by simulation. The proposed method was confirmed effective through case study. The results show that: the second-order system’s parameters can be identified correctly, and the output of the mathematical model can be followed preferably by the second-order system. The error is less than 0.02mm.


2018 ◽  
Vol 10 (11) ◽  
pp. 168781401881235
Author(s):  
Yang Li ◽  
Jun Zhang ◽  
Dongxu Su ◽  
Changxing Zhou ◽  
Wanhua Zhao

Positioning error of the feed drive system has great influence of the machining quality. In order to guarantee the positioning accuracy, the linear grating scale is adopted to form a full-closed loop. However, due to the inner heat sources and environmental temperature variations, the linear grating scale could expand and the thermally induced positional deviation is generated. In this article, temperatures and positional deviations of the ball screw feed drive system and the linear motor feed drive system equipped with linear scales were tested. The factors that affect the positioning error were analyzed. Then, the temperatures and positioning coordinates were used as inputs to build the thermally induced positional deviation model of full closed-loop feed drive system. Based on the model, coordinate values of the machine tool were adjusted and the compensation was implemented. The testing results verified that after compensation, the positional deviations were greatly reduced.


2015 ◽  
Vol 799-800 ◽  
pp. 576-580 ◽  
Author(s):  
Yi Guang Shi ◽  
Hui Xiao ◽  
Jun Ao Zhang ◽  
Da Wei Zhang

This paper presents relationships between some vital parameters and the natural frequency of the ball screw feed drive system. A finite element model (FEM) of a machine tool feed drive system is established with joint parameters added in based on the SAMCEF software. Using the finite element model, the influences of the material properties of the worktable, the diameter of the ball screw and joint parameters on the natural frequency of axial vibration are derived. These results provide a reliable basis for the optimization design of the ball screw feed drive system.


2018 ◽  
Vol 35 (2) ◽  
pp. 135-143 ◽  
Author(s):  
Tung Lam Nguyen ◽  
Seung-Kook Ro ◽  
Chang Kyu Song ◽  
Jong-Kweon Park

Author(s):  
Jianmin Zhu ◽  
Tongchao Zhang ◽  
Jian Wang ◽  
Xiaoru Li

The dynamic characteristic parameters of mechanical joints are difficult to determine in theoretical modeling, dynamic simulation, and servo controller design for the ball screw feed drive system. Therefore, this study proposes a novel method for identifying the axial stiffness and damping parameters of the rolling joints in an assembled ball screw feed drive system. First, the proposed method deduces the axial vibration equations of the feed drive system with a harmonic excitation force exerted on its worktable. Second, the identification model of the axial stiffness and damping parameters of the rolling joints is established on the basis of the equations. Third, the identification equations are built by measuring the distance between the screw supporting points, the frequency, and the amplitude of the harmonic excitation force, as well as the amplitude of the axial vibration velocity of the screw end section. The axial stiffness and damping parameters of the rolling joints are finally determined by solving the identification equations using the genetic algorithm. With a ball screw feed drive system as the research object, the proposed method is used to identify the rolling joints’ axial stiffness and damping parameters of the ball screw assembly, as well as the left and the right bearing groups. The experiments show that the proposed method is correct, effective, and achieves high identification accuracy.


2020 ◽  
Vol 34 (7) ◽  
pp. 2985-2995
Author(s):  
Gaiyun He ◽  
Panpan Shi ◽  
Dawei Zhang ◽  
Guangming Sun

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