Adaptive-Sliding Mode Trajectory Control of Robot Manipulators with Uncertainties

TL;DR

This paper introduces an adaptive-sliding mode control method for robot manipulators that effectively handles uncertainties, disturbances, and payload variations, ensuring stable and accurate trajectory tracking through a Lyapunov-based design validated by simulations.

Contribution

It presents a novel adaptive-sliding mode control approach for robot manipulators with uncertain dynamics, validated through MATLAB simulations demonstrating robustness and accuracy.

Findings

Controller is stable and robust to disturbances.

Achieves accurate trajectory tracking under uncertainties.

Validated via MATLAB-SIMULINK simulations.

Abstract

In this paper, we propose and demonstrate an adaptive-sliding mode control for trajectory tracking control of robot manipulators subjected to uncertain dynamics, vibration disturbance, and payload variation disturbance. Throughout this work we seek a controller that is, robust to the uncertainty and disturbance, accurate, and implementable. To perform these requirements, we use a nonlinear Lyapunov-based approach for designing the controller and guaranteeing its stability. MATLAB-SIMULINK software is used to validate the approach and demonstrate the performance of the controller. Simulation results show that the derived controller is stable, robust to the disturbance and uncertainties, accurate, and implementable.