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基于GA-SA算法的机器人几何参数误差辨识 被引量:1
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作者 朱振权 殷宝麟 +1 位作者 潘瑞冬 郑春雷 《佳木斯大学学报(自然科学版)》 CAS 2024年第1期59-62,共4页
几何参数误差对机器人末端绝对定位精度影响最大,而几何误差参数辨识是一个高维非线性问题,求解困难,所以建立一种简单高效的辨识算法是有必要的,本文提出了遗传模拟退火算法(GA-SA)对机器人几何参数误差辨识。以机器人末端位姿误差最... 几何参数误差对机器人末端绝对定位精度影响最大,而几何误差参数辨识是一个高维非线性问题,求解困难,所以建立一种简单高效的辨识算法是有必要的,本文提出了遗传模拟退火算法(GA-SA)对机器人几何参数误差辨识。以机器人末端位姿误差最小为目标,采用遗传模拟退火算法辨识机器人几何参数误差,以ABB IRB120为算例迭代1100次,遗传算法在200代陷入局部最优,模拟退火参与后最终适应度为0.0914。误差补偿结果表明:机器人末端位置误差沿X,Y,Z轴方向分别降低了88.05%,81.73%,83.72%,姿态误差分别降低了93.92%,83.64%,83.44%,证明遗传模拟退火算法可以有效辨识机器人几何参数误差,提高误差补偿后的机器人末端位姿精度。 展开更多
关键词 机器人误差模型 参数辨识 遗传模拟退火算法 误差补偿
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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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