Joint Stiffness and Link Deflection Identification of Serial Robotic Manipulators and End-Effectors

A. P. Singh, J. Padayachee, G. Bright
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引用次数: 1

Abstract

This research work aims to evaluate the joint-stiffness and link deflection of any 6-Degree of Freedom revolute serial manipulator. The reduced stiffness inherent in serial robots hinders its application to perform machining operations due to its reduced accuracy imparted through deformations within the links and joints. The current focus is on identifying the stiffness values at each joint considering the translational and rotational movement of the End-Effector with an applied force/torque. Additionally, the paper focuses on identifying the deflections inherent in links of the robot due to both bending and torsional effects. Identifying these parameters could help realise the effects of various forces/torques acting on the End-Effector in three-dimensional space. The high repeatability, extended workspace reachability and alacrity of serial manipulators make them appealing to perform machining operations as opposed to its competitor, the CNC machine. Consequently, from an economic perspective, manufacturers will notice an increased throughput rate of finished goods. This identification and optimization procedure will significantly improve the future of machining with serial robots. The outcome of enhancing the stiffness parameters could result in high precision of workpieces. Manufacturers of the future will be able to identify the true potential of their manipulators to perform machining operations.
串联机器人机械臂和末端执行器的关节刚度和连杆挠度辨识
本研究旨在评估任意六自由度旋转串联机械臂的关节刚度和连杆挠度。串行机器人固有的刚度降低阻碍了其应用于执行加工操作,因为它通过链接和关节内的变形降低了精度。目前的重点是确定每个关节的刚度值,考虑到末端执行器在施加力/扭矩的情况下的平移和旋转运动。此外,本文还着重于识别由于弯曲和扭转效应而导致的机器人链路固有的挠度。识别这些参数可以帮助实现在三维空间中作用于末端执行器的各种力/力矩的影响。串行机械手的高重复性,扩展的工作空间可及性和快速性使它们与其竞争对手数控机床相比,更适合进行加工操作。因此,从经济角度来看,制造商将注意到成品吞吐量的增加。这种识别和优化程序将大大提高未来的串联机器人加工。提高刚度参数的结果可以提高工件的精度。未来的制造商将能够识别他们的机械手执行加工操作的真正潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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