2017
DOI: 10.24200/sci.2017.4512
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Robust Adaptive Sliding Mode Admittance Control of Exoskeleton Rehabilitation Robots

Abstract: A nonlinear robust adaptive sliding mode admittance controller is proposed for exoskeleton rehabilitation robots. The proposed controller has robustness against uncertainties of dynamic parameters using an adaptation law. Furthermore, an adaptive Sliding Mode Control (SMC) scheme is employed in the control law to provide robustness against disturbances (non-parametric uncertainties) with unknown bounds.For this purpose, another adaptation law is defined for the variation of the SMC gain.The proposed scheme is … Show more

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Cited by 18 publications
(25 citation statements)
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References 32 publications
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“…They used a particle swarm optimizer (PSO) to find the optimal design parameters of the controller and the adaptation law [88]. Torabi et al proposed an admittance controller based on a nonlinear adaptive sliding mode scheme for a lower limb exoskeleton robot to provide robustness against disturbances while ensuring a compliant behavior during patient-exoskeleton interaction [89].…”
Section: Robotic Exoskeletonsmentioning
confidence: 99%
“…They used a particle swarm optimizer (PSO) to find the optimal design parameters of the controller and the adaptation law [88]. Torabi et al proposed an admittance controller based on a nonlinear adaptive sliding mode scheme for a lower limb exoskeleton robot to provide robustness against disturbances while ensuring a compliant behavior during patient-exoskeleton interaction [89].…”
Section: Robotic Exoskeletonsmentioning
confidence: 99%
“…37 In the robotic rehabilitation systems, various control methodologies based on the SMC have been developed. 22,38 Herein, a well-known ASMC is utilized to achieve a comparative study between ASMC and the proposed ST-NTSMC.…”
Section: Controller Designmentioning
confidence: 99%
“…Bagheri et al 16 designed a new structure to analyze effects of shoulder placement on working of a humanoid. Torabi et al 17 proposed a control scheme based on adaptive sliding mode control of an exoskeleton robot. Zhou and Tsagarkis 18 designed a kinematic solution toward ankle module of a humanoid.…”
Section: Introductionmentioning
confidence: 99%