2022
DOI: 10.18280/jesa.550404
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Design of Optimal Sliding Mode Control of Elbow Wearable Exoskeleton System Based on Whale Optimization Algorithm

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. Comput… Show more

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Cited by 16 publications
(8 citation statements)
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“…As future extension of this study, other control schemes can be used to control the pendulum system [15][16][17][18][19][20], or one can use modern optimization techniques to tune the design parameters of SC and SMC towards their improvement [21][22][23][24][25].…”
Section: Simulation Resultsmentioning
confidence: 99%
“…As future extension of this study, other control schemes can be used to control the pendulum system [15][16][17][18][19][20], or one can use modern optimization techniques to tune the design parameters of SC and SMC towards their improvement [21][22][23][24][25].…”
Section: Simulation Resultsmentioning
confidence: 99%
“…Furthermore, the ASC can effectively constrain the estimation errors of uncertain parameters within defined bound to avoid the drifting problem in estimation errors, which may lead to instability of the controlled system. This study can be extended by suggesting another control scheme in the literature and a comparison study can be made with proposed controllers for the electronic throttle valve system [29][30][31][32][33][34][35][36][37][38][39][40][41].…”
Section: Discussionmentioning
confidence: 99%
“…For future work, this study can be extended by including different optimization algorithms for the purpose of comparison with the PSO technique [18][19][20][21]. In addition, another extension of this study could be by using other embedded hardware designs such as Raspberry Pi or FPGA or by using LabVIEW programming software in order to implement the proposed controller in a real-time environment [22][23][24][25].…”
Section: Discussionmentioning
confidence: 99%