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A compensation sliding mode control for machining robotic manipulators based on nonlinear disturbance observer

Fangchen Yin, Cong-Wei Wen, Qinzhi Ji, Hongyuan Zhang, Hui Shao

2022Transactions of the Institute of Measurement and Control20 citationsDOI

Abstract

The machining robotic manipulators (MRMs) find a broad range of applications due to their high efficiency, wide range of processing, and strong flexibility. High tracking accuracy and strong anti-interference ability are required to trajectory tracking control of machining robot during processing. In view of the above characteristics, this paper proposes a compensation sliding mode control (CSMC) based on nonlinear disturbance observer (NBO-CSMC) for MRM. First, we deduced the dynamic model of MRM considering the uncertainties and disturbances. Then, for improving the trajectory tracking accuracy, a compensation sliding mode controller is designed based on the traditional sliding mode control (TSMC) strategy. Finally, in order to reduce the chattering in sliding mode control, the NBO-CSMC is designed for MRM, NBO is used to estimate the external composite uncertain interference existing in the system, and compensate the system control input in real time. The Lyapunov’s theory proved the stability of the proposed algorithm, and simulation experiments verified the effectiveness of the proposed control strategy.

Topics & Concepts

Control theory (sociology)MachiningSliding mode controlTrajectoryCompensation (psychology)Controller (irrigation)Control engineeringNonlinear systemComputer scienceLyapunov stabilityLyapunov functionObserver (physics)EngineeringArtificial intelligenceControl (management)PsychoanalysisPhysicsQuantum mechanicsBiologyAgronomyPsychologyMechanical engineeringAstronomyIterative Learning Control SystemsControl Systems in EngineeringAdvanced machining processes and optimization
A compensation sliding mode control for machining robotic manipulators based on nonlinear disturbance observer | Litcius