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Improving the Dynamic Accuracy of Elastic Industrial Robot Joint by Algebraic Identification Approach

机译:用代数识别法提高弹性工业机器人关节的动态精度

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摘要

In this paper, an improvement of the dynamic accuracy of a flexible robot joint is addressed. Based on the observation of the measured axis deformation, a simplified elastic joint model is deduced. In the first step, the non-linear model component’s is analyzed and identified in the cases of the gravity bias and the friction term. In the second step, a non-asymptotically algebraic fast identification of the oscillatory behavior of the robot axis is introduced. Finally, the performances of the identification approach are exploited in order to improve the dynamic accuracy of a flexible robot axis. This is done experimentally by the combination of the adaptation of the jerk time profile to reduce the end-point vibration and the model-based precompensation of the end-point tracking error.
机译:在本文中,解决了柔性机器人关节动态精度的提高。基于观测到的轴变形,推导了简化的弹性接头模型。第一步,在重力偏差和摩擦项的情况下,分析并确定非线性模型的组成部分。在第二步中,介绍了机器人轴的振荡行为的非渐近代数快速识别。最后,利用识别方法的性能来提高柔性机器人轴的动态精度。这是通过将急动时间曲线的适应性降低端点振动和基于模型的端点跟踪误差的预补偿相结合来完成的。

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