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Virtual Sensor for Kinematic Estimation of Flexible Links in Parallel Robots

机译:虚拟传感器用于并联机器人运动学运动估计

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摘要

The control of flexible link parallel manipulators is still an open area of research, endpoint trajectory tracking being one of the main challenges in this type of robot. The flexibility and deformations of the limbs make the estimation of the Tool Centre Point (TCP) position a challenging one. Authors have proposed different approaches to estimate this deformation and deduce the location of the TCP. However, most of these approaches require expensive measurement systems or the use of high computational cost integration methods. This work presents a novel approach based on a virtual sensor which can not only precisely estimate the deformation of the flexible links in control applications (less than 2% error), but also its derivatives (less than 6% error in velocity and 13% error in acceleration) according to simulation results. The validity of the proposed Virtual Sensor is tested in a Delta Robot, where the position of the TCP is estimated based on the Virtual Sensor measurements with less than a 0.03% of error in comparison with the flexible approach developed in ADAMS Multibody Software.
机译:柔性链接并联操纵器的控制仍然是一个开放的研究领域,端点轨迹跟踪是此类机器人的主要挑战之一。肢体的柔韧性和变形使得对工具中心点(TCP)位置的估计具有挑战性。作者提出了不同的方法来估计这种变形并推断出TCP的位置。但是,大多数这些方法需要昂贵的测量系统或使用高计算成本的集成方法。这项工作提出了一种基于虚拟传感器的新颖方法,该方法不仅可以精确估计控制应用中柔性链节的变形(误差小于2%),而且还可以导出其导数(速度误差小于6%,误差小于13%)根据仿真结果)。拟议中的虚拟传感器的有效性在Delta机器人中进行了测试,与ADAMS多体软件中开发的灵活方法相比,TCP的位置是根据虚拟传感器的测量结果估算的,误差小于0.03%。

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