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浙江大学学报(工学版)  2022, Vol. 56 Issue (2): 398-407    DOI: 10.3785/j.issn.1008-973X.2022.02.021
机械工程     
大型龙门铺丝机综合误差建模及补偿
吴剑波(),李俊,郑成淦,程亮*()
浙江大学 浙江省先进制造技术重点实验室,浙江 杭州 310027
Comprehensive error modeling and compensation of a large gantry automatic fiber placement machine
Jian-bo WU(),Jun LI,Cheng-gan ZHENG,Liang CHENG*()
Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, Zhejiang University, Hangzhou 310027, China
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摘要:

为了提高大型龙门自动铺丝(AFP)机的精度,提出重力变形与几何误差综合建模与补偿方法. 采用有限元法对龙门铺丝机进行静力学分析,通过工作空间网格化方法建立重力变形模型;基于齐次变换矩阵与切比雪夫多项式建立几何误差模型,结合剔除重力变形的测量数据与Powell算法实现对几何误差参数的辨识;综合重力变形模型和几何误差模型,提出基于综合误差补偿的G代码修正策略. 在龙门铺丝机上开展综合误差补偿对比实验,结果表明,补偿前龙门铺丝机误差较大,不能完全满足铺放精度需求,而经过补偿后位置误差和姿态误差均大幅度降低,其中姿态误差减小80%以上,而位置误差减小90%以上,满足铺放精度需求,证明了所提出的综合误差建模和补偿方法的有效性.

关键词: 龙门自动铺丝(AFP)机重力变形工作空间网格化几何误差误差辨识综合误差补偿    
Abstract:

A comprehensive error modeling and compensation method of gravity deformation and geometric error was proposed, in order to improve the accuracy of a large gantry automatic fiber placement (AFP) machine. Finite element method (FEM) was used for static analysis of the gantry AFP machine, and the gravity deformation model was established by workspace meshing method. A geometric error model based on homogeneous transformation matrix (HTM) and Chebyshev polynomial was established, in which the geometric error parameters were identified by combining the measurement data of gravity deformation removal and Powell algorithm. The gravity deformation model and the geometric error model were combined, and a G-code correction strategy based on comprehensive error compensation was proposed. A comprehensive error compensation experiment was performed on the gantry AFP machine, and results showed that before compensation, the error of the gantry AFP machine was large, which cannot fully meet the requirement of placement accuracy. After compensation, the position error and posture error were greatly reduced, the posture error was reduced by over 80%, and the position error was reduced by more than 90%, which met the requirement of placement accuracy, and proved the effectiveness of the proposed comprehensive error modeling and compensation method.

Key words: gantry automatic fiber placement (AFP) machine    gravity deformation    workspace meshing    geometric error    error identification    comprehensive error compensation
收稿日期: 2021-08-26 出版日期: 2022-03-03
CLC:  TH 161  
基金资助: 国家自然科学基金重大研究计划资助项目(91948301);浙江省自然科学基金资助项目(LQ20E050019);浙江省重点研发计划资助项目(2020C01039)
通讯作者: 程亮     E-mail: wujianbo1011@zju.edu.cn;chengliang@zju.edu.cn
作者简介: 吴剑波(1994—),男,博士生,从事龙门铺丝机动态特性研究. orcid.org/0000-0002-8682-454X. E-mail: wujianbo1011@zju.edu.cn
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引用本文:

吴剑波,李俊,郑成淦,程亮. 大型龙门铺丝机综合误差建模及补偿[J]. 浙江大学学报(工学版), 2022, 56(2): 398-407.

Jian-bo WU,Jun LI,Cheng-gan ZHENG,Liang CHENG. Comprehensive error modeling and compensation of a large gantry automatic fiber placement machine. Journal of ZheJiang University (Engineering Science), 2022, 56(2): 398-407.

链接本文:

https://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2022.02.021        https://www.zjujournals.com/eng/CN/Y2022/V56/I2/398

图 1  大型龙门自动铺丝机
图 2  龙门铺丝机有限元仿真
图 3  重力变形前、后坐标变化示意图
图 4  关节空间网格化
图 5  关节空间样本点重力变形
图 6  龙门铺丝机坐标系定义
坐标系 几何误差元素
$\{ {O_{{\rm{Base}}} }\} \to \{ {O_{\rm{R}}}\}$ ${x_{\rm{R}}}$${y_{\rm{R}}}$${z_{\rm{R}}}$${\alpha _{\rm{R}}}$${\beta _{\rm{R}}}$${\gamma _{\rm{R}}}$
$\{ {O_X}\} \to \{ {O_Y}\} $ ${S_{xy}}$
$\{ {O_Y}\} \to \{ {O_Z}\} $ $ {S_{xz}} $${S_{yz}}$
$\{ {O_Z}\} \to \{ {O_B}\} $ ${\eta _{xB}}$${\eta _{zB}}$
$\{ {O_B}\} \to \{ {O_A}\} $ ${x_A}$${y_A}$${z_A}$${\eta _{yA}}$${\eta _{zA}}$
$\{ {O_A}\} \to \{ {O_C}\} $ ${\eta _{xC}}$${\eta _{yC}}$
$\{ {O_C}\} \to \{ {O_{\rm{T}}}\}$ ${x_{\rm{T}}}$${y_{\rm{T}}}$${z_{\rm{T}}}$
表 1  位置无关的几何误差元素
图 7  几何误差标定实验
图 8  末端几何误差元素辨识验证
图 9  轴关节补偿量迭代计算
图 10  综合误差补偿对比实验原理图
图 11  补偿前、后末端位置误差和姿态误差比较
?PX/mm ?PY/mm ?PZ/mm ?θX/rad ?θY/rad ?θZ/rad
补偿前最大值 4.900 7.340 0.390 ?6.51×10?3 2.15×10?3 ?5.14×10?3
补偿前平均值 4.860 7.230 0.310 ?6.02×10?3 1.88×10?3 ?3.26×10?3
补偿后最大值 ?0.092 ?0.532 0.046 ?7.02×10?4 ?5.45×10?4 ?6.79×10?5
补偿后平均值 ?0.053 ?0.480 0.003 ?4.11×10?4 ?3.00×10?4 ?4.94×10?4
平均值减小 98.9% 93.4% 99.0% 93.1% 84.0% 84.8%
表 2  补偿前、后位置和姿态误差统计数据
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[2] 冯刚,付国强,孙磊,傅建中. 多轴数控机床转台几何误差辨识新方法[J]. 浙江大学学报(工学版), 2015, 49(11): 2083-2091.