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Adaptive Control of Robotic Deburring Process Based on Impedance Control

机译:基于阻抗控制的机器人去毛刺过程的自适应控制

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An adaptive algorithm for the detection of burrs and cavities on a work piece is proposed for the beburring process. The conventional force control method for the deburring process has the inherent characteristic of leaving the debarred surface or edge as an imprint of the original and can not distinguish the position deflection of the end-effector and the larger burrs. By the adaptive algorithm, the reference cutting force in normal direction and the feed-rate can be adjusted automatically according to the variation of the burr size to get smooth surface. A process force model considering the burrs effect is developed to predict the cutting force. Furthermore, the proposed algorithm is integrated into the impedance control for the deburring operation. The simulation experiment has shown that the adaptive algorithm is effective to determine the existence of the burrs, obtain the desired contour and improve the machining efficiency.
机译:提出了一种用于检测工件上的毛刺和空腔的自适应算法,用于助熔过程。用于去毛刺工艺的常规力控制方法具有将替代表面或边缘作为原件的压印的固有特性,并且不能区分末端效应器和较大毛刺的位置偏转。通过自适应算法,可以根据毛刺尺寸的变化来自动调节正常方向上的参考切割力,以获得光滑的表面。考虑毛刺效应的过程力模型是开发的,以预测切割力。此外,所提出的算法集成到用于去毛刺操作的阻抗控制中。模拟实验表明,自适应算法有效地确定毛刺的存在,获得所需的轮廓并提高加工效率。

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