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Online time delay estimation in networked control systems with application to bilateral teleoperation

机译:网络控制系统中的在线时延估计及其在双边遥操作中的应用

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The problem of forward and backward time delays is significantly important for both control and feedback loop of networked control systems. These time delays give rise to latency in performance and thereby may destabilize the system. Therefore numerous methods have been proposed about time delay identification/estimation and compensation for networked control systems, especially for bilateral teleoperation systems. However, most compensation methods have been accomplished by considering offline time delay estimation for linearonlinear time delay control systems. In this work, we propose an observer based estimation algorithm for round trip delay which is the sum of forward and backward time delays for a 1 degree-of-freedom nonlinear bilateral teleoperation system. Via Lyapunov based stability analysis, global boundedness of the observer errors along with their ultimate convergence and the convergence of the round trip delay estimator to the vicinity of its real value can be guaranteed in the closed-loop system. Finally, simulation and experimental studies are carried out utilizing the last link of a PHANToM Omni Haptic device moving like a one-link robot in the vertical plane.
机译:向前和向后时间延迟的问题对于网络控制系统的控制和反馈回路都非常重要。这些时间延迟会导致性能延迟,从而可能导致系统不稳定。因此,已经提出了许多关于网络控制系统,特别是双边远程操作系统的时延识别/估计和补偿的方法。但是,大多数补偿方法是通过考虑线性/非线性时滞控制系统的离线时延估计来实现的。在这项工作中,我们提出了一种基于观察者的往返延迟估计算法,该算法是一个1自由度非线性双边遥操作系统的前向和后向时间延迟之和。通过基于Lyapunov的稳定性分析,可以在闭环系统中确保观察者误差的全局有界性,其最终收敛性以及往返延迟估计量收敛到其真实值附近。最后,利用PHANToM Omni Haptic设备的最后一个链接(如单链接机器人在垂直平面中移动)进行了仿真和实验研究。

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