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Quick and reliable contact detection for sensorless force control of industrial robots for human support

机译:快速可靠的接触检测,可为工业机器人提供无传感器力控制,以实现人工支持

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In this paper, we propose a new contact detection method for sensorless force control of industrial robots for human support. Sensorless force control is an useful technique with regard to force control of industrial robots. However, existing force estimation methods have some error due to the phase-lag of the disturbance observer, and due to the errors in robot dynamics identification. The proposed method achieves quick and reliable contact detection by employing a jerk signal with the dynamic threshold. A jerk signal, which is sensitive to impulsive force and the effect of errors due to dynamics parameters is very small. The proposed dynamic threshold is adjusted according to robot's motion. When the robot exhibits accelerating motion, the threshold is set to a higher level in comparison with the usual low-level constant threshold. The validity of the proposed method is confirmed through the experiments on actual industrial robots.
机译:在本文中,我们提出了一种新的接触检测方法,用于工业机器人的无传感器力控制。关于工业机器人的力控制,无传感器力控制是一种有用的技术。但是,现有的力估计方法由于干扰观测器的相位滞后以及机器人动力学识别中的误差而具有一定的误差。所提出的方法通过使用具有动态阈值的冲击信号来实现快速而可靠的接触检测。冲击信号对脉冲力很敏感,并且由于动力学参数而产生的误差影响很小。建议的动态阈值可根据机器人的运动进行调整。当机器人表现出加速运动时,与通常的低电平恒定阈值相比,将阈值设置为较高的水平。通过在实际工业机器人上的实验证实了该方法的有效性。

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