Novel soft bending actuator-based power augmentation hand exoskeleton controlled by human intention

被引:36
作者
Al-Fahaam, Hassanin [1 ]
Davis, Steve [1 ]
Nefti-Meziani, Samia [1 ]
Theodoridis, Theo [1 ]
机构
[1] Univ Salford, Sch Comp Sci & Engn, Autonomous Syst & Robot Res Ctr, Manchester M5 4WT, Lancs, England
关键词
Soft robotics; Soft mechanism; Wearable robot; Artificial pneumatic rubber muscle; Modelling; DRIVEN;
D O I
10.1007/s11370-018-0250-4
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This article presents the development of a soft material power augmentation wearable robot using novel bending soft artificial muscles. This soft exoskeleton was developed as a human hand power augmentation system for healthy or partially hand disabled individuals. The proposed prototype serves healthy manual workers by decreasing the muscular effort needed for grasping objects. Furthermore, it is a power augmentation wearable robot for partially hand disabled or post-stroke patients, supporting and augmenting the fingers' grasping force with minimum muscular effort in most everyday activities. This wearable robot can fit any adult hand size without the need for any mechanical system changes or calibration. Novel bending soft actuators are developed to actuate this power augmentation device. The performance of these actuators has been experimentally assessed. A geometrical kinematic analysis and mathematical output force model have been developed for the novel actuators. The performance of this mathematical model has been proven experimentally with promising results. The control system of this exoskeleton is created by hybridization between cascaded position and force closed-loop intelligent controllers. The cascaded position controller is designed for the bending actuators to follow the fingers in their bending movements. The force controller is developed to control the grasping force augmentation. The operation of the control system with the exoskeleton has been experimentally validated. EMG signals were monitored during the experiments to determine that the proposed exoskeleton system decreased the muscular efforts of the wearer.
引用
收藏
页码:247 / 268
页数:22
相关论文
共 40 条
[1]  
Al-Fahaam H, 2016, 2016 INTERNATIONAL CONFERENCE FOR STUDENTS ON APPLIED ENGINEERING (ICSAE), P491, DOI 10.1109/ICSAE.2016.7810241
[2]  
Al-Fahaam H, 2016, 2016 21ST INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS (MMAR), P472, DOI 10.1109/MMAR.2016.7575181
[3]   Assistive Control System for Upper Limb Rehabilitation Robot [J].
Chen, Sung-Hua ;
Lien, Wei-Ming ;
Wang, Wei-Wen ;
Lee, Guan-De ;
Hsu, Li-Chun ;
Lee, Kai-Wen ;
Lin, Sheng-Yen ;
Lin, Chia-Hsun ;
Fu, Li-Chen ;
Lai, Jin-Shin ;
Luh, Jer-Junn ;
Chen, Wen-Shiang .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2016, 24 (11) :1199-1209
[4]   Measurement and modeling of McKibben pneumatic artificial muscles [J].
Chou, CP ;
Hannaford, B .
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 1996, 12 (01) :90-102
[5]  
Daud Wan Mohd Bukhari Wan, 2013, International Journal of Modeling and Optimization, V3, P515, DOI 10.7763/IJMO.2013.V3.332
[6]   Enhanced modelling and performance in braided pneumatic muscle actuators [J].
Davis, S ;
Tsagarakis, N ;
Canderle, J ;
Caldwell, DG .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2003, 22 (3-4) :213-227
[7]  
Ergin MA, 2012, IEEE INT CONF ROBOT, P2479, DOI 10.1109/ICRA.2012.6225117
[8]   Developments in hardware systems of active upper-limb exoskeleton robots: A review [J].
Gopura, R. A. R. C. ;
Bandara, D. S. V. ;
Kiguchi, Kazuo ;
Mann, G. K. I. .
ROBOTICS AND AUTONOMOUS SYSTEMS, 2016, 75 :203-220
[9]   The Assessment of Muscular Effort, Fatigue, and Physiological Adaptation Using EMG and Wavelet Analysis [J].
Graham, Ryan B. ;
Wachowiak, Mark P. ;
Gurd, Brendon J. .
PLOS ONE, 2015, 10 (08)
[10]  
Hagan M.T., 2014, Neural Networks Design, V2nd