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Fractional-order Sliding Mode Constraint Control for Manipulator Systems Using Grey Wolf and Whale Optimization Algorithms

Seong-Ik Han
International Journal of Control, Automation, and Systems, vol. 19, no. 2, pp.676-686, 2021

Abstract : This study investigates a new fractional-order nonsingular terminal sliding mode control (FTSMC) leveraging a finite-time extended state observer, a simpler prescribed control, and hybrid grey wolf optimization (GWO) combined with whale optimization algorithm (WOA) for manipulator systems. The new FTSMC system is based on an improved fractional-order terminal sliding surface. Initially, the study experimentally optimizes the dynamic parameters and gains of the controller and the observer with the help of the newly developed GWO-WOA technique. As the next step, the uncertainties including optimization error and external disturbances are estimated by the finite-time extended state observer designed using the sliding mode dynamics. Experimental results of GWOWOA optimization and joint position tracking for a self-designed articulated manipulator prove the efficacy of the proposed control scheme.

Keyword : Experiemental grey-wolf and whale optimization, finite-time extended state observer, fractional-order nonsingular terminal sliding mode control, manipulator systems, sliding mode constraint control.

 
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