摘要
为了提高工业机器人的绝对定位精度和标定效率,提出一种基于预标定基坐标系及改进迭代扩展卡尔曼滤波(MIEKF)算法的运动学标定方法。该方法的优点在于用采集的位置数据进行基坐标系和工具坐标系预标定,节省两者拟合的时间。在建立位置误差模型时利用相关系数和复共线性分析去除模型的冗余参数。用MIEKF算法辨识模型的几何参数误差。通过实验对比验证,机器人经补偿后的绝对定位精度提高了88.07%。
In order to improve the absolute positioning accuracy and calibration efficiency of industrial robots,a kinematic cali-bration method based on pre-calibrated base coordinate system and modified iterative extended Kalman filter(MIEKF)algorithm was proposed.The advantages of this method were that the cllected position data were used for pre-calibration of the base and tool coordi-nate systems to save the time for fitting both.The correlation coefficient and the multicollinearity analysis were used to remove the re-dundant parameters of the model when building the position error model,and the MIEKF algorithm was used to identify the geometric parameter errors of the model.The absolute positioning accuracy of the robot after compensation is improved by 88.07%as verified by experimental comparison.
作者
林耿聪
肖曙红
杨林
卢浩文
张建华
LIN Gengcong;XIAO Shuhong;YANG Lin;LU Haowen;ZHANG Jianhua(School of Electromechanical Engineering,Guangdong University of Technology,Guangzhou Guangdong 510006,China;Foshan Institute of Intelligent Equipment Technology,Foshan Guangdong 528000 China;Foshan Huashu Robot Co.,Ltd.,Foshan Guangdong 528000,China)
出处
《机床与液压》
北大核心
2023年第23期23-29,共7页
Machine Tool & Hydraulics
基金
国防基础科研计划项目(JCKY2019204A001)
2020年佛山市产业领域科技攻关(2020001006282)。
关键词
预标定基坐标系
相关系数
改进迭代扩展卡尔曼滤波算法
运动学标定
Pre-calibrated base coordinate system
Correlation coefficient
Modified iterative extended Kalman filter algorithm
Kinematics calibration