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On the Optimal Selection of Motors and Transmissions for a Back-Support Exoskeleton

Erfan Shojaei Barjuei, M. Mahdi Ghazaei Ardakani, Darwin G. Caldwell, Marcello Sanguineti, Jesús Ortiz

Year
2019
Citations
6

Abstract

High performance of an exoskeleton depends on torque/force tracking in a proper way according to human motion. Hence, because of the importance of actuator systems in wearable robots which usually include electrical motors and transmissions, this paper proposes a solution for selection of these components for an upper-body exoskeleton. In order to perform an optimization procedure, the dynamic model of the system has been developed analytically. Accordingly, optimization criteria in terms of closed-loop system bandwidth, system power consumption and component weights have been formulated by taking technical limitations into account. Extensive simulation results are presented in order to make comparison among possible optimization results.

Keywords

ExoskeletonSelection (genetic algorithm)Computer scienceControl engineeringSimulationArtificial intelligenceEngineering

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