Home /Research /A Robust Predefined-Time Stable Tracking Control for Uncertain Robot Manipulators
MANIPULATION

A Robust Predefined-Time Stable Tracking Control for Uncertain Robot Manipulators

Nansheng Zhang, Shanshan Wang, Yinlong Hou, Liyin Zhang

Year
2020
Citations
13
Access
Open access

Abstract

In this paper, a novel robust predefined-time approach is proposed for global predefined-time tracking control of uncertain robot manipulators. With the sufficient consideration of the effects of uncertainties and external disturbances (UED) on the trajectory tracking performance of robot manipulators, a singularity-free robust control with an auxiliary nonlinear vector is constructed for the predefined-time tracking. The global predefined-time stable tracking by using Lyapunov stability theory has been accomplished for ensuring that both the position and velocity tracking errors arrive at the origin within a predefined time. The proposed approach has the following advantages: (i) the proposed approach with a simple structure is easy to implement with the global robust predefined-time tracking control; (ii) the convergence time of the proposed approach independently of the initial states can be given as an exact controller parameter in advance; (iii) the proposed approach is easy to apply into uncertain robot manipulators with time-constraints tracking control. Extensive simulation and experimental results have been accomplished to show the effectiveness and improved performances of the proposed approach.

Keywords

Control theory (sociology)TrajectoryComputer scienceRobust controlTracking (education)Controller (irrigation)Iterative learning controlRobotRobustness (evolution)Lyapunov function

Related papers

Browse all MANIPULATION papers