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A Robust LMI-Based Stabilizing Control Method for Bilateral Teleoperation Systems

机译:基于鲁棒LMI的双边遥操作系统稳定控制方法

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This paper introduces a novel structure to design a robust PID controller based on a Linear Matrix Inequality (LMI) approach. The objectives of the controller establishment are to achieve complete transparency and robust stability despite the large time-delay of communication channels and uncertainty in various parts of a teleoperation system. In this structure two local controllers must be implemented by applying an LMI-based H_∞ theory. One of these controllers is responsible for tracking the master position in the remote site which is called slave controller. The slave controller is a novel robust PID controller which is implemented by employing an LMI-based H_∞ framework. Furthermore, the other one controller called master controller is in charge of force tracking as well as guaranteeing stability of the closed-loop system and it requires to be established by applying an LMI-based multiobjective H_2/H_∞ method. Finding optimal values for the parameters of the controllers can be ensured by applying the convex optimization method in both sites. As it can be seen from the simulation results, the proposed control method is highly effective in providing a stable transparent teleoperation system under uncertain, but bounded, time-delay in communication channel and task environment. Since the simulation results illustrates time responses of the system for nominal values of the parameters, μ-analysis has been used to investigate stability of the overall system in spite of changes in the parameters of the master and/or slave manipulators in modified range.
机译:本文介绍了一种基于线性矩阵不等式(LMI)方法设计鲁棒PID控制器的新颖结构。尽管通信通道存在大量时间延迟,并且远程操作系统的各个部分都存在不确定性,但建立控制器的目的是实现完全透明和鲁棒的稳定性。在这种结构中,必须通过应用基于LMI的H_∞理论来实现两个本地控制器。这些控制器之一负责跟踪远程站点中的主控位置,这称为从属控制器。从控制器是一种新颖的鲁棒PID控制器,通过采用基于LMI的H_∞框架来实现。此外,另一个称为主控制器的控制器负责力的跟踪以及确保闭环系统的稳定性,需要通过应用基于LMI的多目标H_2 /H_∞方法来建立该控制器。通过在两个站点上应用凸优化方法,可以确保找到控制器参数的最佳值。从仿真结果可以看出,在不确定但有界的通信信道和任务环境中,该控制方法在提供稳定,透明的遥操作系统方面非常有效。由于仿真结果说明了系统对参数标称值的时间响应,因此,尽管在修改范围内主操纵器和/或从属操纵器的参数发生了变化,μ分析也已用于研究整个系统的稳定性。

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