Publication | Closed Access
Development of an upper limb exoskeleton powered via pneumatic electric hybrid actuators with bowden cable
71
Citations
24
References
2014
Year
Unknown Venue
EngineeringMechanical EngineeringMotor ControlBiomedical EngineeringUpper Limb ExoskeletonRehabilitation RoboticsArtificial MusclesKinesiologySoft RoboticsBiomechanicsKinematicsHybrid Actuation SystemRehabilitation EngineeringExoskeletonHealth SciencesBowden CableMechatronicsBiomimetic ActuatorActuationElectronic-mechanical SystemCompact Upper LimbHybrid ActuatorPneumaticsMechanical SystemsWearable RoboticsRoboticsActuators
In this paper, we introduce our ongoing work on the development of an upper body exoskeleton robot, driven by a pneumatic-electric hybrid actuation system. Since the limb of an exoskeleton robot needs to have small inertia to achieve agility and safety, using a heavy actuator is not preferable. Furthermore, we need to use backdrivable actuators that can generate sufficiently large torques to support user movements. These two requirements may seem contradictory. In order to cope with this development problem, we use a hybrid actuation system composed of Pneumatic Artificial Muscles (PAMs) and small-size electromagnetic motors. Although we and other research groups have already presented the advantage of the hybrid actuation system, we newly propose the usage of Bowden cable in a hybrid actuator to transmit the force generated by the PAMs to joints of our exoskeleton robot so that we can design a compact upper limb with small inertia. In addition, small size electric motors are mechanically connected to joints in order to compensate uncertainty generated by the PAM dynamics and the Bowden cable. We demonstrate that the proposed joint is backdrivable with the capability of large torque generation for the gravity compensation task both in One-DOF system with a dummy weight and right arm of the upper body exoskeleton with a mannequin arm. We also show the right arm exoskeleton can be moved using a torque input, extracted from sensory information via a goniometer.
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