Vibration suppression of collaborative robot based on modified trajectory planning

振动 机器人 弹道 控制理论(社会学) 扭矩 计算机科学 残余物 振动控制 工程类 声学 物理 人工智能 算法 控制(管理) 天文 热力学
作者
Yong Tian,Yue Xiang,Lin Wang,Yan Feng
出处
期刊:Industrial Robot-an International Journal [Emerald (MCB UP)]
卷期号:50 (1): 45-55 被引量:6
标识
DOI:10.1108/ir-01-2022-0017
摘要

Purpose The paper aims to reduce the low-frequency resonance and residual vibration of the robot during the operation, improve the working accuracy and efficiency. A reduced weight and large load-to-weight ratio can improve the practical application of a collaborative robot. However, flexibility caused by the reduced weight and large load-to-weight ratio leads to low-frequency resonance and residual vibration during the operation of the robot, which reduces the working accuracy and efficiency. The vibrations of the collaborative robot are suppressed using a modified trajectory-planning method. Design/methodology/approach A rigid-flexible coupling dynamics model of the collaborative robot is established using the finite element and Lagrange methods, and the vibration equation of the robot is derived. Trajectory planning is performed with the excitation force as the optimization objective, and the trajectory planning method is modified to reduce the vibration of the collaborative robot and ensure the precision of the robot terminal. Findings The vibration amplitude is reduced by 80%. The maximum torque amplitude of the joint before the vibration suppression reaches 50 N·m. After vibration suppression, the maximum torque amplitude of the joint is 10 N·m, and the resonance phenomenon is eliminated during the operation process. Consequently, the effectiveness of the modified trajectory planning method is verified, where the vibration and residual vibration in the movement of the collaborative robot are significantly reduced, and the positioning accuracy and working efficiency of the robot are improved. Originality/value This method can greatly reduce the vibration and residual vibration of the collaborative robot, improve the positioning accuracy and work efficiency and promote the rapid application and development of collaborative robots in the industrial and service fields.
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
ding应助过时的又槐采纳,获得10
1秒前
4秒前
鄙视注册完成签到,获得积分10
5秒前
5秒前
6秒前
6秒前
落寞溪灵完成签到 ,获得积分10
8秒前
玖玖柒idol完成签到,获得积分10
8秒前
曌虞完成签到,获得积分10
8秒前
9秒前
啥,这都是啥完成签到,获得积分10
9秒前
皮皮桂发布了新的文献求助10
10秒前
11秒前
大大发布了新的文献求助10
11秒前
12秒前
orixero应助wang1090采纳,获得30
14秒前
14秒前
l11x29发布了新的文献求助10
16秒前
lin完成签到,获得积分10
16秒前
大侠发布了新的文献求助10
17秒前
17秒前
是锦锦呀完成签到,获得积分10
17秒前
17秒前
李秋静发布了新的文献求助10
18秒前
zhen发布了新的文献求助50
20秒前
是锦锦呀发布了新的文献求助60
20秒前
Khr1stINK发布了新的文献求助10
22秒前
23秒前
NexusExplorer应助Dddd采纳,获得10
25秒前
25秒前
Akim应助zhaowenxian采纳,获得10
26秒前
谦让的鹏煊完成签到,获得积分10
27秒前
zccc完成签到 ,获得积分10
28秒前
29秒前
hhzz发布了新的文献求助10
30秒前
坚定的雁完成签到 ,获得积分10
31秒前
32秒前
两先生完成签到 ,获得积分10
32秒前
豆dou发布了新的文献求助10
32秒前
丘比特应助SS采纳,获得10
33秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
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 3527961
求助须知:如何正确求助?哪些是违规求助? 3108159
关于积分的说明 9287825
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540070
邀请新用户注册赠送积分活动 716926
科研通“疑难数据库(出版商)”最低求助积分说明 709808