AUTHOR=Niu Jie , Yang Qianqian , Wang Xiaoyun , Song Rong 

TITLE=Sliding Mode Tracking Control of a Wire-Driven Upper-Limb Rehabilitation Robot with Nonlinear Disturbance Observer

JOURNAL=Frontiers in Neurology

VOLUME=Volume 8 - 2017

YEAR=2017

URL=https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2017.00646

DOI=10.3389/fneur.2017.00646

ISSN=1664-2295

ABSTRACT=Robot-aided rehabilitation has become an important technology to restore and reinforce motor functions of patients with extremity impairment, whereas it can be extremely challenging to achieve satisfactory tracking performance due to uncertainties and disturbances during rehabilitation training. In this paper, a wire-driven rehabilitation robot which can work over a three-dimensional space is designed for upper-limb rehabilitation, and sliding mode control with nonlinear disturbance observer is designed for the robot to deal with the problem of unpredictable disturbances during robot-assisted training. Then, simulation and experiments of trajectory tracking are carried out to evaluate the performance of the system, the positionerrors and the output forcesof the designed control scheme are compared with those of the traditional sliding mode control scheme. The results show that the designed control scheme can effectively reduce the tracking errors and chattering of the output forces as compared with the traditional sliding mode control scheme, which indicates that the nonlinear disturbance observer can reduce the effect of unpredictable disturbances. The designed control schemefor the wire-driven rehabilitation robot has potential to assist patients with stroke in performing repetitive rehabilitation training.