Home /Research /Adaptive nonlinear observer–based sliding mode control of robotic manipulator for handling an unknown payload
MANIPULATION

Adaptive nonlinear observer–based sliding mode control of robotic manipulator for handling an unknown payload

Guiying Li, Shuyang Wang, Zhigang Yu

Year
2020
Citations
10

Abstract

This article presents the control synthesis of robotic manipulators with an unknown constant payload. A novel nonlinear disturbance observer with an adaptive scheme is designed to estimate the external force induced by the unknown constant payload. A general design procedure for designing the gain of the nonlinear observer is developed rather than the time-consuming trials and error to choose proper gain. The nonlinear observer gain is designed using an adaptive technique to extend the applicability of the disturbance observer. The stability of the proposed observer is established using Lyapunov method under certain conditions. The proposed nonlinear disturbance observer will be integrated with the sliding mode control to substantially alleviate the chattering problem. Also, simulation results are presented to verify the effectiveness of the proposed methods.

Keywords

Control theory (sociology)Payload (computing)Observer (physics)Nonlinear systemSliding mode controlComputer scienceLyapunov functionControl engineeringState observerLyapunov stability

Related papers

Browse all MANIPULATION papers