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Adaptive Tracking with External Force Disturbance Rejection for Uncertain Robotic Systems

机译:不确定机器人系统的外力干扰抑制自适应跟踪

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摘要

This paper is concerned with the tracking control problem of robotic systems perturbed by time-varying parameters, unmodelled dynamics and external force (and moment) disturbances. The upper bound of system uncertainties and disturbances is not required for controller design. Also, no limitations are assumed on the speed of variation and the magnitude of unknown parameters and perturbations. An adaptive algorithm with simplicity and universality properties is proposed to ensure robust tracking. Presenting the closed loop stability proof analytically, the tracking controller is applied to a two-link robot manipulator and the simulation results are demonstrated to show the effectiveness of the method.
机译:本文关注的是时变参数,未建模的动力学和外力(和力矩)干扰对机器人系统的跟踪控制问题。控制器设计不需要系统不确定性和干扰的上限。同样,对变化速度以及未知参数和扰动的大小也没有任何限制。提出了一种具有简单性和通用性的自适应算法,以确保鲁棒的跟踪。分析地提出了闭环稳定性证明,将跟踪控制器应用于两连杆机器人操纵器,并通过仿真结果证明了该方法的有效性。

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