Abstract
In recent years, rehabilitation robots which help the neurological impaired patient regain the function of the lower limb via training sessions have been developed with great attention. Since these types of robot interact closely with humans, safety is always the top priority considered in the design. Besides, the compliance of the robot must also be controlled to give the subject the best comforts. To fulfill the above mentioned requirements, a two degrees of freedom (2-DOF) robotic orthosis power by pneumatic artificial muscles (PAMs) based on the human musculoskeletal system is developed in this study. The system is able to track any desired trajectories by using a computed torque control strategy. The impedance controller is also integrated into the system to adapt the robot compliance according to the external force. The feasibility and effectiveness of the developed system are verified by experiments.
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References
K. E. Gordon, G. S. Sawicki, and D. P. Ferris, “Mechanical performance of artificial pneumatic muscles to power an ankle-foot orthosis,” J. Biomech., vol. 39, pp. 1832–1841, Jul. 2006.
P. Beyletal., “Safe and compliant guidance by a powered knee exoskeleton for robot-assisted rehabilitation of gait,” Adv. Robot., vol. 25, pp. 513–535, May 2011.
G. S. Sawicki and D. P. Ferris, “A pneumatically powered knee-ankle-foot orthosis with myoelectric activation and inhibition,” J. NeuroEng. Rehabil., vol. 6, 2009.
T. Y. Choi and J. J. Lee, “Control of Manipulator Using Pneumatic Muscles for Enhanced Safety,” in IEEE Transactions on Industrial Electronics, vol. 57, no. 8, pp. 2815–2825, Aug. 2010. https://doi.org/10.1109/tie.2009.2036632.
S. Hussain, S. Q. Xie, P. K. Jamwal, and J. Parsons, “An intrinsically compliant robotic orthosis for treadmill training,” Med. Eng. Phys., vol. 34, pp. 1448–1453, Dec. 2012.
Kumamoto, M., T. Oshima, and T. Yamamoto, “Control properties induced by the existence of antagonistic pairs of bi-articular muscles Mechanical engineering model analyses,” in Human Movement Science, 1994. 13(5): p. 611–634.
Y. Shibata, S. Imai, T. Nobutomo, T. Miyoshi and S. I. Yamamoto, “Development of body weight support gait training system using antagonistic bi-articular muscle model,” 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, Buenos Aires, 2010, pp. 4468–4471. https://doi.org/10.1109/iembs.2010.5625972.
M. A. Mat Dzahir, T. Nobutomo and S. I. Yamamoto, “Development of body weight support gait training system using pneumatic mckibben actuators -Control of Lower Extremity Orthosis-,” 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, 2013, pp. 6417–6420.
Q. T. Dao and S. i. Yamamoto, “Tracking control of a robotic orthosis for gait rehabilitation: A feedforward-feedback control approach,” 2017 10th Biomedical Engineering International Conference (BMEiCON), Hokkaido, Japan, 2017, pp. 1–5.
David A. Winter, “Biomechanics and motor control of human movement”, Third edition. University of Waterloo press, Waterloo, Ontario, Canada.
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Dao, QT., Yamamoto, Si. (2019). Adaptive Impedance Control of a Robotic Orthosis Actuated by Pneumatic Artificial Muscle. In: Lhotska, L., Sukupova, L., Lacković, I., Ibbott, G. (eds) World Congress on Medical Physics and Biomedical Engineering 2018. IFMBE Proceedings, vol 68/2. Springer, Singapore. https://doi.org/10.1007/978-981-10-9038-7_117
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DOI: https://doi.org/10.1007/978-981-10-9038-7_117
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