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Design of Optimal Sliding Mode Control of Elbow Wearable Exoskeleton System Based on Whale Optimization Algorithm

Zharaa A. Waheed, Amjad J. Humaidi

2022Journal Européen des Systèmes Automatisés34 citationsDOIOpen Access PDF

Abstract

The high nonlinearity and time-varying coefficients characterize the elbow exoskeleton system for rehabilitation. To deal with these difficult control challenges, nonlinear and reliable controllers are needed. This paper shows the use of Sliding Mode Control (SMC) to track the trajectory of an Elbow Exoskeleton System (EES) with presence of parameter uncertainty. The Whale Optimization Algorithm (WOA) algorithm is used to tuning the design parameters of suggested controllers for performance improvement. Computer simulation based on MATLAB software has been implemented to conduct a comparison study between optimal and non-optimal SMC. The simulation findings shows that the optimal SMC outperforms the non-optimal version of controller in terms of performance.

Topics & Concepts

ExoskeletonMATLABControl theory (sociology)Nonlinear systemSliding mode controlController (irrigation)TrajectoryComputer scienceOptimal controlSoftwareElbowControl engineeringEngineeringControl (management)SimulationMathematical optimizationMathematicsArtificial intelligenceAgronomyOperating systemSurgeryBiologyMedicineQuantum mechanicsProgramming languagePhysicsAstronomySpinal Cord Injury ResearchProsthetics and Rehabilitation Robotics
Design of Optimal Sliding Mode Control of Elbow Wearable Exoskeleton System Based on Whale Optimization Algorithm | Litcius