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Control of a teleoperating robotic arm subject to time delays.

机译:受到时间延迟的遥控机器人手臂的控制。

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摘要

Robotics in Minimally Invasive Surgeries (MIS) can be explored to its full potential if there is complete transparency between the surgeon and the virtual environment. In the setup, haptic device which conveys force from the surgeon to the surgery site and vice verse acts as the master station and robotic arm at the surgery site acts as the slave robot. In surgeries carried out remotely, time delays in the communication channels can cause commanded velocity/force to overshoot before the surgeon can even pull out during a task causing temporary or permanent damage during the surgery.;Since the physical capability of the transmission channels cannot be improved beyond a certain point there will always be time delays no matter how small. Therefore the work presented attempts to minimize the effects of time delays for robot manipulators having more than single degree of freedom. This will allow more delicate and complex surgeries to be performed with increased precision, dexterity and control. The controller uses a stable Lyapunov based backstepping design with tuning functions to filter out high frequency signals and smooth out the control forces. Neural networks will be used for estimating the rate of change of external forces and nonlinear system dynamics. This design guarantees stability and inherently adds robustness to account for unknown environment.;Simulations are carried out for a 1-DOF and 2-DOF robot manipulators and the results show a substantial improvement in the performance over the direct force application. The controller also performs reasonably well with higher time delays compared to direct force method where large delays destabilize the robot.
机译:如果外科医生与虚拟环境之间完全透明,则可以充分利用微创手术(MIS)中的机器人技术。在该设置中,将力从外科医生传递到手术部位(反之亦然)的触觉设备充当主站,而手术部位的机械臂充当从属机器人。在远程手术中,通讯通道中的时间延迟可能导致命令的速度/力过冲,然后外科医生甚至在执行任务期间可能导致手术暂时或永久性损害的任务之前拔出;由于传输通道的物理能力无法达到改进到一定程度,无论多么小,总会有时间延迟。因此,提出的工作试图最小化具有多个单一自由度的机器人操纵器的时间延迟的影响。这将允许以更高的精度,灵巧性和控制力执行更精细和复杂的手术。该控制器采用基于Lyapunov的稳定后推设计,并具有调谐功能,可以滤除高频信号并消除控制力。神经网络将用于估计外力和非线性系统动力学的变化率。这种设计保证了稳定性,并固有地增加了坚固性以应对未知环境。;对1-DOF和2-DOF机器人操纵器进行了仿真,结果表明,与直接作用力相比,其性能得到了显着改善。与直接力方法相比,该控制器在较高的时间延迟下也表现良好,后者延迟较大会使机器人不稳定。

著录项

  • 作者

    Sarda, Pankaj Prakash.;

  • 作者单位

    The University of Texas at Arlington.;

  • 授予单位 The University of Texas at Arlington.;
  • 学科 Engineering Mechanical.;Engineering Robotics.
  • 学位 M.S.
  • 年度 2013
  • 页码 81 p.
  • 总页数 81
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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