一种用于机械手轨迹跟踪的改进迭代学习控制器

Xiaofeng Liu, Haitao Zhang, Sen Zhang
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引用次数: 3

摘要

将基本PD型迭代学习控制算法应用于机械臂轨迹跟踪的重复控制。然而,现有的迭代学习控制算法没有考虑控制器与执行器之间以及传感器与控制器之间的时间延迟的影响。由于时滞的存在,采用PD型迭代学习控制算法的系统不能保持稳定。因此,减小了最后一次迭代的控制量,提出了一种改进的PD型迭代学习控制算法。仿真结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved iterative learning controller for trajectory tracking of manipulator
Basic PD type iterative learning control algorithm has been applied to repeat control of trajectory tracking of manipulator. However, existing iterative learning control algorithm doesn't consider the effet of time delay between controller and actuator and between sensor and controller. Because of the existence of time delay, the system using PD type iterative learning control algorithm cann't keep stable. So the control quantity of the last iteration is attenuated, and an improved PD type iterative learning control algorithm is presented. The simulation results show the effectivity of the proposed method.
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