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基于多孔标定法的串联机器人运动学标定研究 被引量:5

Kinematics calibration of series robots based on porous calibration method
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摘要 针对串联机器人传统标定方法有缺陷,使机器人标定后运动精度仍旧存在较大误差的问题,对串联机器人进行了运动学标定方法的研究。在单孔标定法的基础上进行了优化改进,提出了一种基于多孔标定法的串联机器人运动学标定技术,通过MDH误差模型计算出机器人的定位误差,然后将误差值进行了补偿,从而提高了机器人的运动精度;搭建了标定平台,通过自制的多孔标定板和探针等工具对多孔标定法的标定效果进行了实验研究,详细记录了实验数据,并将实验数据进行了处理和综合分析。研究结果表明:多孔标定法对该类型串联机器人的标定作用明显,有效地提高了机器人的定位精度,标定前后机器人的运动误差减小了数倍;该方法对该类型机器人的运动参数学标定具有极大的现实作用和意义,为机器人的进一步研究和应用奠定了良好的基础。 Aiming at the shortcomings of traditional calibration methods for serial robots, there were still large errors in the kinematic accuracy of the robot after calibration, kinematics calibration of serial robot was carried out. Based on single hole calibration method, optimization and improvement were made. A kinematics calibration technology of serial robot based on multi-hole calibration method was proposed.The positioning error of the robot was calculated by MDH error model, and then the error value was compensated to improve the motion accuracy of the robot. A calibration platform was built, and the calibration effect of the porous calibration method was studied by means of self-made porous calibration plate and probe. The experimental data were recorded in detail and processed and analyzed comprehensively. The results indicate that the multi-hole calibration method has a significant effect on the calibration of this type of serial robots, effectively improves the positioning accuracy of the robot, and reduces the motion error of the robot several times before and after calibration. The calibration of kinematic parameters of this type of robot has great practical significance and laid a good foundation for further research and application of the robot.
作者 王宪伦 胡晓伟 WANG Xian-lun;HU Xiao-wei(College of mechanical and electrical Engineering, Qingdao University of Science and Technology, Qingdao 266000,China)
出处 《机电工程》 CAS 北大核心 2019年第5期470-474,500,共6页 Journal of Mechanical & Electrical Engineering
基金 山东省重点研发计划资助项目(2018GNC112007)
关键词 运动精度 运动学标定 多孔标定法 MDH误差模型 motion accuracy kinematic calibration porous calibration MDH error model
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