Litcius/Paper detail

Adaptive Sliding Mode Control for a Robotic Manipulator with Unknown Friction and Unknown Control Direction

Seung-Hun Han, Manh Son Tran, Duc Thien Tran

2021Applied Sciences31 citationsDOIOpen Access PDF

Abstract

This paper is aimed at addressing the tracking control issue for an n-DOF manipulator regardless of unknown friction and unknown control direction. In order to handle the above issues, an adaptive sliding mode control (ASMC) is developed with a Nussbaum function. The sliding mode control (SMC) in the proposed control guarantees the tracking problem and fast responses for the manipulator. Additionally, there are adaptive laws for the robust gain in the SMC to deal with the unknown external disturbance and reduce the chattering effect in the system. In practice, the mistakes in the connection between actuators and drivers, named unknown control direction, cause serious damage to the manipulator. To overcome this issue, the Nussbaum function is multiplied by the ASMC law. A Lyapunov approach is investigated to analyze the stability and robustness of the whole system. Finally, several simulations are implemented on a 3-DOF manipulator and their results are compared with those of the existing controllers to validate the advantages of the proposed method.

Topics & Concepts

Control theory (sociology)Lyapunov functionSliding mode controlRobustness (evolution)Robot manipulatorComputer scienceActuatorControl engineeringAdaptive controlLyapunov stabilityEngineeringControl (management)Nonlinear systemArtificial intelligencePhysicsQuantum mechanicsChemistryBiochemistryGeneAdaptive Control of Nonlinear SystemsHydraulic and Pneumatic SystemsVehicle Dynamics and Control Systems
Adaptive Sliding Mode Control for a Robotic Manipulator with Unknown Friction and Unknown Control Direction | Litcius