Development of Gait Training System Powered by Antagonistic Mono-and Bi-Articular Actuators Using Contraction Model Control Scheme

Article Preview

Abstract:

The use of Pneumatic Muscle Actuator (PMA) in medical robots for rehabilitation has changed due to the requirements for a compliant, light weight and user-friendly robotic system. In this paper, a control system for controlling the bi-articular actuators (PMA) is proposed. Based on the information obtained from the positional input data (hip and knee joint angles), a contraction model is derived using mathematical equations to determine the contraction patterns of antagonistic mono-and bi-articular actuators, and then implemented it into the control system. Anterior and posterior muscle activation levels are introduced into the model to manipulate its magnitude. There are two tests for the control system; first is with antagonistic mono-articular actuators alone; second is along with antagonistic bi-articular actuators. The contraction model control scheme was tested on a healthy subject in a robot assisted walk test, and satisfactory performance was obtained. The result showed that, the cycle time of the gait training system is improved up to 3 seconds gait cycle compared to 5 seconds gait cycle used in previous research. However, a little time shift and inertia occurred when the controller is tested at faster gait cycle time of 2 seconds and 1 second. Thus, the potential field and iterative learning control are suggested to improve the gait cycle of the system.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

525-531

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] A. Wernig, S. Muller, A. Nanassy, and E. Cagol, Laufband therapy based on 'rules of spinal locomotion' is effective in spinal cord injured persons,. Eur J Neurosci vol. 7, pp.823-829, (1995).

DOI: 10.1111/j.1460-9568.1995.tb00686.x

Google Scholar

[2] V. Dietz, R. MuEller and G. Colombo, Locomotor activity in spinal man: significance of afferent input from joint and load receptors,. Brain, 125, pp.2626-2634, (2002).

DOI: 10.1093/brain/awf273

Google Scholar

[3] G. Colombo, M. Wirz, and V. Dietz, Driven gait orthosis for improvement of locomotor training in paraplegic patients,. International medical society of paraplegia, Spinal Cord, 39, 252-255, (2001).

DOI: 10.1038/sj.sc.3101154

Google Scholar

[4] Y. Shibata, S. Imai, T. Nobutomo, T. Miyoshi, and S. I Yamamoto, Development of body weight support gait training system using antagonistic bi-articualar muscle model,. 32nd Annual International Conference of the IEEE EMBS, Buenos Aires, Argentina, (2010).

DOI: 10.1109/iembs.2010.5625972

Google Scholar

[5] V. Salvucci, Oh Sehoon, Y. Hori, and Y. Kimura, Disturbance rejection improvement in non-redundant robot arms using bi-articular actuators,. Industrial Electronics (ISIE). IEEE Symp. p.2159~2164, (2011).

DOI: 10.1109/isie.2011.5984495

Google Scholar

[6] M. Kumamoto, T. Oshima, and T. Fujikawa, Control properties of two joint link mechanism equipped with mono and bi-articular actuators,. Robot & Human Interactive Com., IEEE Proc. p.400~404, (2010).

DOI: 10.1109/roman.2000.892531

Google Scholar

[7] S. Shimizu, N. Momose, T. Oshima, and K. Koyanagi, Development of robot leg which provided with the bi-articular actuator for training techniques of rehabilitation,. Robot and Human Interactive Communication, IEEE Symp. p.921~926, (2009).

DOI: 10.1109/roman.2009.5326183

Google Scholar

[8] David A. Winter, Biomechanics and motor control of human movement,. Fourth Edition, John Wiley & Sons, Inc., (2009).

Google Scholar

[9] S. Balasubramanian, J. Ward, T. Sugar, and J. He, Characterization of the dynamic properties of pneumatic muscle actuators,. Proceedings of the 2007 IEEE 10th International Conferences on Rehabilitaion Robotics, June 12-15, Noordwijk, The Netherlands.

DOI: 10.1109/icorr.2007.4428511

Google Scholar