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Neural Computing and Applications

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12-05-2018 | Original Article

Controller design for upper limb motion using measurements of shoulder, elbow and wrist joints

Authors: İkbal Eski, Ahmet Kırnap

Published in: Neural Computing and Applications | Issue 1/2018

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Abstract

Passive exercises are implemented by physiotherapists to people who have movement functionality loss due to any reason at their limbs for recovering all or a part of movement functionality. Physiotherapists are constantly repeating the passive therapy movements with patients. Nowadays, rehabilitation devices which are capable of repeating therapy exercises and control techniques for that device are developing. For this reason, controller design for the angular trajectory of human shoulder, elbow and wrist joints is presented in this paper. This paper consists of two parts. At first part, patients who had loss of function at their upper limbs were identified and shoulder, elbow and wrist angular displacement parameters were obtained by means of sensors. At second part, three control structures were selected for tracking shoulder, elbow and wrist angle trajectories. According to the experimental and simulation results, neural network-based PID control structure is the best controller on tracking given trajectories.

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Title: Controller design for upper limb motion using measurements of shoulder, elbow and wrist joints
Authors: İkbal Eski
Ahmet Kırnap
Publication date: 12-05-2018
Publisher: Springer London
Published in: Neural Computing and Applications / Issue 1/2018
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-018-3522-1

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