Abstract
A mechanical design and a two-level control method for an ankle exoskeleton (AE) are represented in this paper in the case where the AE device is implemented to assist human walking. Attempting to release the burden of wearers, it remains paramount to reduce the weight of the AE. To this end, this paper implements a Boden cable to separate the motor from the exoskeleton during the mechanical design of the AE. Moreover, aiming at enhancing human locomotion ability, a two-level controller based on the iterative learning control (ILC) algorithm is represented to govern the control behavior of the AE in this paper. The feasibility and efficacy of the developed two-level controller are evaluated through experimental tests over four different subjects. The experimental results show that the muscle activity of each subject can be reduced compared to walking without the designed AE device.
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Lee, H., Kim, W., Han, J., Han, C.: The technical trend of the exoskeleton robot system for human power assistance. Int. J. Precis. Eng. Manuf. 13(8), 1491–1497 (2012)
Collins, S.H., Bruce Wiggin, M., Sawicki, G.S.: Reducing the energy cost of human walking using an unpowered exoskeleton. Nature 522(7555), 212 (2015)
Panzenbeck, J.T., Klute, G.K.: A powered inverting and everting prosthetic foot for balance assistance in lower limb amputees. JPO J. Prosthet. Orthot. 24(4), 175–180 (2012)
Au, S.K., Dilworth, P., Herr, H.: An ankle-foot emulation system for the study of human walking biomechanics. In: Proceedings 2006 IEEE International Conference on Robotics and Automation, ICRA 2006. IEEE (2006)
Yin, K., Pang, M., Xiang, K., et al.: Fuzzy iterative learning control strategy for powered ankle prosthesis. Int. J. Intell. Robot. Appl. 2(1), 122–131 (2018)
Vallery, H., Asseldonk, E.H.F.V., Buss, M., et al.: Reference trajectory generation for rehabilitation robots: complementary limb motion estimation. IEEE Trans. Neural Syst. Rehabil. Eng. 17(1), 23–30 (2009)
Zhang, Q., Zhao, D., Wang, D.: Event-based robust control for uncertain nonlinear systems using adaptive dynamic programming. IEEE Trans. Neural Netw. Learn. Syst. 29(1), 37–50 (2018)
Caputo, J.M., Collins, S.H.: A universal ankle–foot prosthesis emulator for human locomotion experiments. J. Biomech. Eng. 136(3), 035002 (2014)
Zhang, J., Fiers, P., Witte, K.A., et al.: Human-in-the-loop optimization of exoskeleton assistance during walking. Science 356, 1280–1284 (2017)
Jia, X.G., Yuan, Z.Y.: Adaptive iterative learning control for robot manipulators. In: IEEE International Conference on Intelligent Computing and Intelligent Systems, pp. 1195–1203 (2010)
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Xu, H., Li, Y., Tang, B., Xiang, K. (2019). The Mechanical Design and Torque Control for the Ankle Exoskeleton During Human Walking. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11744. Springer, Cham. https://doi.org/10.1007/978-3-030-27541-9_3
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DOI: https://doi.org/10.1007/978-3-030-27541-9_3
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