欠驱动吸盘抓取网格的最小能量状态确定

G. G. Gunnarsson, H. G. Petersen
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引用次数: 0

摘要

使用预浸渍纤维层制造复合材料部件在航空航天、风力涡轮机和汽车等领域有着广泛的应用。在复杂的模具上实现这些层的自动化是一个尚未解决的问题。在Flexdraper项目中,我们通过一种工具解决了这个问题,该工具由安装在线性执行器上的欠驱动吸盘阵列组成,并与弹簧相互连接。本文的目的是发展一种方法,以准确地预测欠驱动自由度的平衡构型的任意位形的线性执行器的扩展。我们的方法是建立势能模型,使势能值最小。势能是由于重力和弹簧的弯曲和拉伸。我们用三次样条对弹簧的形状建模,并推导出能量的表达式。将开发的模型与来自设置的测量数据进行比较,结果在五种测试配置中的四种位置上的均方根误差约为1mm,第五种测试配置的均方根误差约为3mm。虽然我们还需要进一步提高精度,但三次样条模型显示了一般方法的可行性,但需要对弹簧进行更精确的形状逼近,以实现更低的均方根误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Minimum-Energy State Determination of an Underactuated Suction Cup Gripper Grid
The use of pre-impregnated fiber plies for manufacturing composite components has a wide range of applications within e.g. aerospace, wind turbines and automotive. Automating the layup of these plies on complex moulds is an unsolved problem. In the Flexdraper project, we address this problem by a tool consisting of an underactuated array of suction cups mounted on linear actuators, interconnected with springs. This paper aims at developing a method to accurately predict the equilibrium configuration of the underactuated degrees of freedom for an arbitrary configuration of the extensions of the linear actuators. Our approach is to establish a model for the potential energy and minimize the value of this energy. The potential energy is due to gravity and the bending and stretching of the springs. We model the shape of the springs using cubic splines and derive expressions for the energies. The developed model is compared to measured data from the setup and the results have RMS errors on the positions around 1mm for four out of five test configurations and around 3mm for the fifth test configuration. Although we still need to further improve the accuracy, the cubic spline model shows the feasibility of the general approach, but a more precise shape approximation of the springs will be needed to achieve lower RMS errors.
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