A calibration method of redundant actuated parallel mechanism for posture adjustment

运动学 校准 兰萨克 计算机科学 机制(生物学) 激光跟踪器 过程(计算) 模拟 控制理论(社会学) 人工智能 数学 激光器 哲学 统计 物理 控制(管理) 认识论 经典力学 光学 图像(数学) 操作系统
作者
Wenmin Chu,Xiang Huang,Shuanggao Li
出处
期刊:Industrial Robot-an International Journal [Emerald (MCB UP)]
卷期号:48 (4): 494-509 被引量:7
标识
DOI:10.1108/ir-11-2020-0251
摘要

Purpose With the improvement of modern aircraft requirements for safety, long life and economy, higher quality aircraft assembly is needed. However, due to the manufacturing and assembly errors of the posture adjustment mechanism (PAM) used in the digital assembly of aircraft large component (ALC), the posture alignment accuracy of ALC is difficult to be guaranteed, and the posture adjustment stress is easy to be generated. Aiming at these problems, this paper aims to propose a calibration method of redundant actuated parallel mechanism (RAPM) for posture adjustment. Design/methodology/approach First, the kinematics model of the PAM is established, and the influence of the coupling relationship between the axes of the numerical control locators (NCL) is analyzed. Second, the calibration method based on force closed-loop feedback is used to calibrate each branch chain (BC) of the PAM, and the solution of kinematic parameters is optimized by Random Sample Consensus (RANSAC). Third, the uncertainty of kinematic calibration is analyzed by Monte Carlo method. Finally, a simulated posture adjustment system was built to calibrate the kinematics parameters of PAM, and the posture adjustment experiment was carried out according to the calibration results. Findings The experiment results show that the proposed calibration method can significantly improve the posture adjustment accuracy and greatly reduce the posture adjustment stress. Originality/value In this paper, a calibration method based on force feedback is proposed to avoid the deformation of NCL and bracket caused by redundant driving during the calibration process, and RANSAC method is used to reduce the influence of large random error on the calibration accuracy.

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
Geng完成签到,获得积分10
1秒前
2秒前
花生王子完成签到 ,获得积分0
3秒前
咸鱼大帝完成签到,获得积分10
3秒前
叫滚滚发布了新的文献求助10
3秒前
4秒前
5秒前
6秒前
大个应助xyyt采纳,获得10
6秒前
6秒前
知了发布了新的文献求助10
7秒前
8秒前
温骐华发布了新的文献求助10
8秒前
8秒前
8秒前
CipherSage应助yjx采纳,获得10
9秒前
Bai0703_完成签到,获得积分10
9秒前
10秒前
Fenta发布了新的文献求助10
10秒前
11秒前
12秒前
坚强的隶发布了新的文献求助10
12秒前
FuuKa发布了新的文献求助10
13秒前
14秒前
无花果应助霸气秀采纳,获得10
14秒前
五颜六色的白完成签到,获得积分10
14秒前
俺还是发布了新的文献求助10
14秒前
14秒前
16秒前
Solar energy完成签到,获得积分10
16秒前
17秒前
17秒前
17秒前
量子星尘发布了新的文献求助10
17秒前
hhh完成签到,获得积分10
18秒前
18秒前
sunchang发布了新的文献求助10
19秒前
19秒前
万能图书馆应助柳波采纳,获得30
19秒前
19秒前
高分求助中
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 40000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Ägyptische Geschichte der 21.–30. Dynastie 2500
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
„Semitische Wissenschaften“? 1510
从k到英国情人 1500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5742790
求助须知:如何正确求助?哪些是违规求助? 5410347
关于积分的说明 15345735
捐赠科研通 4883864
什么是DOI,文献DOI怎么找? 2625403
邀请新用户注册赠送积分活动 1574207
关于科研通互助平台的介绍 1531165