机器人机械臂动态滑动PID跟踪控制:理论与实验

Vicente Parra‐Vega, S. Arimoto, Yunhui Liu, G. Hirzinger, P. Akella
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引用次数: 304

摘要

对于一类机械臂,比例导数(PD)控制器加重力补偿可使调节任务全局渐近稳定,比例积分导数(PID)控制器可保证局部调节不受重力抵消。然而,这些控制器不能为跟踪任务提供渐近稳定性。本文提出了一种简单的分散连续滑动PID控制器,用于跟踪任务,使所有闭环信号具有半全局稳定性,跟踪误差呈指数收敛。采用不达相的动态滑模,考虑了终端吸引子和饱和吸引子。对刚性机械臂进行PD控制、PID控制和自适应控制的对比实验研究,验证了我们的设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic sliding PID control for tracking of robot manipulators: theory and experiments
For a class of robot arms, a proportional-derivative (PD) controller plus gravity compensation yields the global asymptotic stability for regulation tasks, and some proportional-integral-derivative (PID) controllers guarantee local regulation without gravity cancellation. However, these controllers cannot render asymptotic stability for tracking tasks. In this paper, a simple decentralized continuous sliding PID controller for tracking tasks that yields semiglobal stability of all closed-loop signals with exponential convergence of tracking errors is proposed. A dynamic sliding mode without reaching phase is enforced, and terminal attractors, as well as saturated ones, are considered. A comparative experimental study versus PD control, PID control, and adaptive control for a rigid robot arm validates our design.
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