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An adaptive force reflective teleoperation control method using online environment impedance estimation

机译:使用在线环境阻抗估计的自适应力反射龙眼控制方法

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This paper proposes a new adaptive method for two-channel bilateral teleoperation systems control; the control method consists of adaptive force feedback and motion command scaling factors that ensure stable teleoperation with maximum achievable transparency at every moment of operation. The method is based on the integration of the real time estimation of the robot's environment impedance with the adaptive force and motion scaling factors generator. This paper formulates the adaptive scaling factors for stable teleoperation based on the impedance models of master, slave and estimated impedance of the environment. Feasibility and accuracy of an online environment impedance estimation method are analyzed through simulations and experiments. Then the proposed adaptive bilateral control method is verified through simulation studies. Results show stable interactions with maximum transparency for the simulated teleoperation system.
机译:本文提出了一种新的双通道双侧耳机系统控制的新自适应方法; 控制方法包括自适应力反馈和运动命令缩放因子,可确保在操作时刻具有最大可实现的透明度的稳定远程化。 该方法基于与自适应力和运动缩放因子发生器的机器人环境阻抗的实时估计的集成。 本文基于母师,奴隶和估计的环境阻抗的阻抗模型,制定了稳定遥通的自适应缩放因子。 通过模拟和实验分析了在线环境阻抗估计方法的可行性和准确性。 然后通过模拟研究验证所提出的自适应双侧控制方法。 结果显示了模拟遥操作系统的最大透明度的稳定相互作用。

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