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MANIPULATION

Disturbance-observer-based tracking controller for a flexible-joint robotic manipulator with full-state constraints

Linran Tian, Yang Gao, Zhongcai Zhang

Year
2022
Citations
4

Abstract

In this study, a nonlinear tracking controller is designed for a flexible-joint (FJ) robotic manipulator system subject to full-state constraints and external disturbances. First, a nonlinear disturbance observer (NDO) is introduced to guarantee that the respective disturbance can be estimated asymptotically. Then, state-dependent function (SDF) transformations are used to convert the original state-constrained system into a new unconstrained system. Subsequently, a NDO-based tracking controller is proposed to enable the output tracking error to converge to a predefined compact set that can be adjusted to be arbitrarily small. The boundedness of all the closed-loop system signals is rigorously proved. Finally, simulation results are presented that show the effectiveness of the proposed control algorithm.

Keywords

Control theory (sociology)Nonlinear systemTracking (education)Computer scienceController (irrigation)Tracking errorObserver (physics)State observerState (computer science)Robot manipulator

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