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基于球面与球心距离误差模型的机器人标定
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作者 张岳 郑刚 张旭 《组合机床与自动化加工技术》 2025年第8期98-101,共4页
由于工业机器人的定位误差一般高于3 mm,难以满足智能制造的需要,为了提高机器人的绝对定位精度需进行机器人的运动学参数标定,提出了一种基于球心球面距离的工业机器人标定方法,并基于激光跟踪仪进行实验验证。首先,基于机器人D-H模型... 由于工业机器人的定位误差一般高于3 mm,难以满足智能制造的需要,为了提高机器人的绝对定位精度需进行机器人的运动学参数标定,提出了一种基于球心球面距离的工业机器人标定方法,并基于激光跟踪仪进行实验验证。首先,基于机器人D-H模型进行机器人运动学建模;其次,建立了基于球心球面距离的误差标定模型,并且通过激光跟踪仪记录机器人末端位于球面点与球心点两点之间的真实距离,之后使用Levenberg-Marquardt算法求得运动学参数误差;最后,选取空间中随机距离进行模型验证,实验结果为最大距离误差由2.9208 mm减小到0.51953 mm,减小了约82.2%,平均距离误差由1.0761 mm减小到0.09665 mm,减小了约91.0%。 展开更多
关键词 工业机器人 参数标定 激光跟踪仪 机器人误差模型
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N-PD cross-coupling synchronization control based on adjacent coupling error analysis 被引量:4
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作者 刘延杰 梁乐 +1 位作者 储婷婷 吴明月 《Journal of Central South University》 SCIE EI CAS CSCD 2018年第5期1154-1164,共11页
In order to improve the trajectory tracking precision and reduce the synchronization error of a 6-DOF lightweight robot, nonlinear proportion-deviation (N-PD) cross-coupling synchronization control strategy based on... In order to improve the trajectory tracking precision and reduce the synchronization error of a 6-DOF lightweight robot, nonlinear proportion-deviation (N-PD) cross-coupling synchronization control strategy based on adjacent coupling error analysis is presented. The mathematical models of the robot, including kinematic model, dynamic model and spline trajectory planing, are established and verified. Since it is difficult to describe the real-time contour error of the robot for complex trajectory, the adjacent coupling error is analyzed to solve the problem. Combined with nonlinear control and coupling performance of the robot, N-PD cross-coupling synchronization controller is designed and validated by simulation analysis. A servo control experimental system which mainly consists of laser tracking system, the robot mechanical system and EtherCAT based servo control system is constructed. The synchronization error is significantly decreased and the maximum trajectory error is reduced from 0.33 mm to 0.1 mm. The effectiveness of the control algorithm is validated by the experimental results, thus the control strategy can improve the robot's trajectory tracking precision significantly. 展开更多
关键词 mathematical model of robot adjacent coupling error nonlinear PD control synchronization control trajectory tracking accuracy
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