Modelling and Analysis of Dynamic Servo Error of Heavy Vertical Machining Centre Considering Nonlinear Factors

反冲 控制理论(社会学) 伺服机构 机械加工 伺服 非线性系统 滚珠丝杠 机床 伺服控制 伺服电动机 伺服驱动 跟踪误差 工程类 数控 计算机科学 控制工程 机械工程 物理 控制(管理) 量子力学 人工智能 螺母
作者
Han Wang,Tian-Jian Li,Xizhi Sun,Diane Mynors,Tao Wu
出处
期刊:Processes [MDPI AG]
卷期号:11 (10): 2930-2930 被引量:1
标识
DOI:10.3390/pr11102930
摘要

The dynamic servo error of heavy-duty vertical machining centres is one of the decisive factors affecting the machining accuracy of large and complex parts. Due to the characteristics of large mass, large load, and the large travel distance of the machine tool, non-linear factors such as friction, backlash, and lateral shift are more likely to cause unstable behaviours such as stick-slip and oscillation of the servo feed system of the machine tool, and reduce the performance and servo accuracy of the motion axis. In this paper, to consider the influence of non-linear factors such as friction, backlash, and lateral shift, an appropriately simplified representation of the mechanical transmission system of the ball screw has been used. According to the control structure of the Siemens 840D numerical control system, a theoretical model of the servo feed system for the heavy-duty vertical machining centre was established based on three-loop control. Then, the single-axis and double-axis closed-loop simulation models of the servo feed system were built in Simulink, and the influence pattern of control parameters and nonlinear factors on the dynamic servo error was obtained through simulation analysis. Finally, the validity of the theoretical model for the servo feed system was verified through a comprehensive comparison of simulation and experimental outcomes. This encompasses an analysis of the control system Bode plots, critical stick-slip velocity, and tracking errors in the X-axis with linear motion. The validation provides theoretical guidance for parameter design and mechanical adjustments of the servo feed system in heavy-duty vertical machining centres.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
卢小白完成签到,获得积分10
刚刚
Lawliet发布了新的文献求助10
1秒前
Amb1tionG完成签到,获得积分10
1秒前
岩下松风完成签到,获得积分10
1秒前
科研通AI2S应助W123456采纳,获得30
1秒前
幽默的谷梦完成签到,获得积分10
3秒前
隐形曼青应助Tici采纳,获得10
3秒前
3秒前
稳重的汉堡完成签到,获得积分10
3秒前
4秒前
研友_LXOJq8完成签到,获得积分10
4秒前
勤恳完成签到,获得积分10
4秒前
王灰灰1完成签到 ,获得积分10
5秒前
5秒前
斯文败类应助云云采纳,获得10
6秒前
6秒前
姜豆姜发布了新的文献求助10
7秒前
ding应助北林采纳,获得10
7秒前
小圆完成签到,获得积分20
7秒前
唠叨的沛山完成签到,获得积分20
8秒前
8秒前
1GE完成签到,获得积分10
8秒前
Vinca发布了新的文献求助10
8秒前
amelia发布了新的文献求助10
8秒前
8秒前
9秒前
小马甲应助星星星星采纳,获得10
9秒前
三好学生发布了新的文献求助10
9秒前
嘎嘎嘎完成签到,获得积分10
9秒前
9秒前
若狂完成签到,获得积分10
11秒前
Jack发布了新的文献求助10
12秒前
t才完成签到,获得积分20
12秒前
赘婿应助搞怪的元瑶采纳,获得10
12秒前
FashionBoy应助1s采纳,获得10
13秒前
甜甜的毛豆完成签到,获得积分10
14秒前
酷酷的紫南完成签到,获得积分10
14秒前
skek发布了新的文献求助10
14秒前
慕青应助马倩茹采纳,获得10
15秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Comprehensive Computational Chemistry 1000
Kelsen’s Legacy: Legal Normativity, International Law and Democracy 1000
Conference Record, IAS Annual Meeting 1977 610
Interest Rate Modeling. Volume 3: Products and Risk Management 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3552334
求助须知:如何正确求助?哪些是违规求助? 3128516
关于积分的说明 9378234
捐赠科研通 2827604
什么是DOI,文献DOI怎么找? 1554491
邀请新用户注册赠送积分活动 725515
科研通“疑难数据库(出版商)”最低求助积分说明 714943