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Position and Torque Sensorless Motion Transmission Using Parameter Identification Based on Least Mean Squares Method

机译:基于最小均方方法的位置识别和扭矩无传感器运动传递的参数辨识

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Motion transmission is a technology which is expected to be used for teleoperation systems. Sensorless control can improve fault tolerance of teleoperation robots exposed to harsh environments. However, sensorless control methods are generally sensitive to parameter errors of an actuator. A previously proposed sensorless motion transmission method especially requires the accurate value of resistance. Therefore, this work aims to identify resistance of two direct current motors used as a master slave system. Taking account of the master slave system of which common mode and differential mode correspond respectively to torque transmission and velocity synchronization, a least mean squares method jointly using a voltage injection is newly applied to the differential mode. Simulation results validated the proposed identification method and indicated that the sensorless motion transmission succeeded using the identified resistance value. The proposed novel method will improve the usefulness of sensorless motion transmission by adaptability to parameter errors.
机译:运动传输是一种有望用于远程操作系统的技术。无传感器控制可以提高暴露在恶劣环境中的遥操作机器人的容错能力。然而,无传感器控制方法通常对致动器的参数误差敏感。先前提出的无传感器运动传输方法特别需要电阻的精确值。因此,这项工作旨在确定用作主从系统的两个直流电动机的电阻。考虑到共模和差模分别对应于转矩传递和速度同步的主从系统,将联合使用电压注入的最小均方方法重新应用于差模。仿真结果验证了所提出的识别方法,并表明使用识别出的电阻值成功实现了无传感器运动传输。所提出的新颖方法将通过对参数误差的适应性来提高无传感器运动传输的有用性。

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