Abstract
When creating walking human-machine systems for rehabilitation process of patients with musculoskeletal disorders, an important task is to plan the trajectories of the executive links. This paper considers a human-machine unit type exoskeleton for lower extremities rehabilitation equipped with controlled electric drives. The framework of the study introduces a method for obtaining the setting angles for the position control loops of the robot links based on the use of a fully connected neural network. The paper describes the data acquisition process for training and validation of the neural network, as well as the structure of the neural network model and the results of training and testing. A control diagram of the system based on a neural network strategy is proposed, and also a comparative analysis between the proposed method and a direct analytical method is being performed. In order to evaluate the effectiveness and applicability of the proposed method for solving trajectory planning strategy problems for the links of a walking human-machine system, a discussion of the main obtained results is carried out.
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References
Veneman, J.F., Kruidhof, R., Hekman, E.E., Ekkelenkamp, R., Van Asseldonk, E.H., Van Der Kooij, H.: Design and evaluation of the LOPES exoskeleton robot for interactive gait rehabilitation. IEEE Trans. Neural Syst. Rehabil. Eng. 15(3), 379–386 (2007)
Shi, D., Zhang, W., Zhang, W., Ding, X.: A review on lower limb rehabilitation exoskeleton robots. Chines. J. Mech. Eng. 32(1), 1–11 (2019)
Esquenazi, A., Talaty, M., Packel, A., Saulino, M.: The ReWalk powered exoskeleton to restore ambulatory function to individuals with thoracic-level motor-complete spinal cord injury. Am. J. Phys. Med. Rehabil. 91(11), 911–921 (2012)
Jatsun, S., Savin, S., Yatsun, A., Malchikov, A.: Study of controlled motion of exoskeleton moving from sitting to standing position. In: Borangiu, T. (ed.) Advances in Robot Design and Intelligent Control. AISC, vol. 371, pp. 165–172. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-21290-6_17
Zoss, A.B., Kazerooni, H., Chu, A.: Biomechanical design of the Berkeley lower extremity exoskeleton (BLEEX). IEEE/ASME Trans. Mechatron. 11(2), 128–138 (2006)
Jatsun, S., Malchikov, A., Loktionova, O., Yatsun, A.: Modeling of human-machine interaction in an industrial exoskeleton control system. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds.) ICR 2020. LNCS (LNAI), vol. 12336, pp. 116–125. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-60337-3_12
Yang, Y., Huang, D., Dong, X.: Enhanced neural network control of lower limb rehabilitation exoskeleton by add-on repetitive learning. Neurocomputing 323, 256–264 (2019)
Li, Z., Li, J., Zhao, S., Yuan, Y., Kang, Y., Chen, C.P.: Adaptive neural control of a kinematically redundant exoskeleton robot using brain–machine interfaces. IEEE Trans. Neural Netw. Learn. Syst. 30(12), 3558–3571 (2018)
Jatsun, S., Malchikov, A., Yatsun, A., Khalil, A.M., Leon, A.S.M.: Simulation of a walking robot-exoskeleton movement on a movable base. Robots in Human Life 15
Jatsun, S., Malchikov, A., Yatsun, A., Saveleva, E.: Mathematical modeling of load lifting process with the industrial exoskeleton usage. In: Ronzhin, A., Shishlakov, V. (eds.) Proceedings of 15th International Conference on Electromechanics and Robotics “Zavalishin’s Readings.” SIST, vol. 187, pp. 269–278. Springer, Singapore (2021). https://doi.org/10.1007/978-981-15-5580-0_22
Jatsun, S., Malchikov, A., Yatsun, A.: Investigation of the mechatronic system oscillatory motion with discrete feedback PD-control. Vibroeng. Procedia 8, 225–230 (2016)
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Jatsun, S.F., Malchikov, A.V., Postolniy, A.A., Yatsun, A.S. (2022). Trajectory Planning Strategy for the Links of a Walking Human-Machine System Using a Neural Network. In: Chugo, D., Tokhi, M.O., Silva, M.F., Nakamura, T., Goher, K. (eds) Robotics for Sustainable Future. CLAWAR 2021. Lecture Notes in Networks and Systems, vol 324. Springer, Cham. https://doi.org/10.1007/978-3-030-86294-7_22
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DOI: https://doi.org/10.1007/978-3-030-86294-7_22
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