An Adaptive Fuzzy Observer Based Delay Compensator for Time Delayed Bilateral Teleoperation Systems

Linping Chan, Qingqing Huang, Ping Wang, Yan Han
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Abstract

This paper presents a novel time delay-compensation method for delayed teleoperation systems based on the concept of network disturbance (ND) and an adaptive fuzzy observer. Firstly, a new adaptive fuzzy observer is developed to estimate the robot states, linearize the robot dynamics as well as eliminate model uncertainty and unknown disturbances. With the linearized robot model, a network disturbance observer is then proposed to estimate the ND by lumping all undesired effects caused by time delay into the ND. Furthermore, the proposed delay compensator is applied to a 4 channel time delayed bilateral control system to deal with the communication delay issue. The effectiveness of the proposed method is demonstrated through experiment study.
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基于自适应模糊观测器的时滞双侧遥操作系统延迟补偿器
提出了一种基于网络扰动和自适应模糊观测器的延迟遥操作系统时滞补偿方法。首先,开发了一种新的自适应模糊观测器来估计机器人状态,线性化机器人动力学,消除模型的不确定性和未知干扰。利用线性化的机器人模型,提出了一个网络干扰观测器,通过将所有由时间延迟引起的不良影响集中到ND中来估计ND。此外,将所提出的延迟补偿器应用于四通道时延双边控制系统,以解决通信延迟问题。通过实验研究证明了该方法的有效性。
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