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Adaptive Wavenet Controller Design for Teleoperation Systems with Variable Time Delays using Singular Perturbation Method

机译:基于奇异摄动法的变时滞遥操作系统自适应波网控制器设计

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摘要

The main goal of controller design in teleoperation systems is to achieve stability and optimal operation in presence of factors such as time delays, system disturbances and modeling errors. This paper proposes a new method of controller design based on wavenet with singular perturbation method for the bilateral teleoperation of robots through the internet. The wavenet controller could overcome the variable time delay in teleoperation system. This new method introduces a reduced-order structure for control and stability of teleoperation systems. By using singular perturbation method, teleoperation system is decomposed into two fast and slow subsystems. This method is a step towards reduced-order modeling. In this method, we use a feedback linearization method in master subsystem and a wavenet controller for slave subsystem. In wavenet controller, we used a learning method so that the system was Lyapunov stable. As the stability of the model is highly dependent on the learning of the system, we use Lyapunov stability in this method. It has been tried to reduce the tracking error between the master and the slave subsystems. In this structure the position of master-slave are compared together and controlling signal is applied to the slave so that they can track each other in the least possible time. In all schemes the effectiveness of the system is shown through the simulations and they have been compared with each other.
机译:远程操作系统中控制器设计的主要目标是在存在诸如时延,系统干扰和建模误差等因素的情况下实现稳定性和最佳操作。提出了一种基于波网的奇异摄动控制器设计新方法,用于机器人通过互联网的双向遥操作。波网控制器可以克服遥操作系统中的可变时延。这种新方法引入了降序结构,以实现远程操作系统的控制和稳定性。通过使用奇异摄动法,将远程操作系统分解为两个快速子系统和一个慢速子系统。此方法是朝降阶建模迈出的一步。在这种方法中,我们在主子系统中使用反馈线性化方法,在从属子系统中使用波网控制器。在Wavenet控制器中,我们使用一种学习方法,从而使系统具有Lyapunov稳定性。由于模型的稳定性高度依赖于系统的学习,因此我们在此方法中使用Lyapunov稳定性。已经尝试减少主子系统和从属子系统之间的跟踪误差。在这种结构中,将主从站的位置一起比较,并将控制信号施加到从站,以便它们可以在最短的时间内相互跟踪。在所有方案中,通过仿真显示了系统的有效性,并将它们相互进行了比较。

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