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Optimal sliding mode controller design based on whale optimization algorithm for lower limb rehabilitation robot

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The Sliding Mode Controllers (SMCs) are considered among the most common stabilizer and controllers used with robotic systems due to their robust nonlinear scheme designed to control nonlinear systems. SMCs are insensitive to external disturbance and system parameters variations. Although the SMC is an adaptive and model-based controller, some of its values need to be determined precisely. In this paper, an Optimal Sliding Mode Controller (OSMC) is suggested based on Whale Optimization Algorithm (WOA) to control a two-link lower limb rehabilitation robot. This controller has two parts, the equivalent part, and the supervisory controller part. The stability assurance of the controlled rehabilitation robot is analyzed based on Lyapunov stability. The WO algorithm is used to determine optimal parameters for the suggested SMC. Simulation results of two tested trajectories (linear step signal and nonlinear sine signal) demonstrate the effectiveness of the suggested OSMC with fast response, very small overshoot, and minimum steady-state error.
Rocznik
Strony
47--59
Opis fizyczny
Bibliogr. 19 poz., fig., tab.
Twórcy
autor
  • University of Wasit, Electrical Engineering Department, Iraq
  • Computer Engineering Department, Iraq
  • University of Wasit, Electrical Engineering Department, Iraq
Bibliografia
  • [1] Abbasimoshaei, A., & Mohammadimoghaddam, M. (2020). Design for a New Hand Rehabilitation (Vol. 1). Springer. https://doi.org/10.1007/978-3-030-58147-3
  • [2] Almaghout, K., Tarvirdizadeh, B., Alipour, K., & Hadi, A. (2020). Design and control of a lower limb rehabilitation robot considering undesirable torques of the patient’s limb. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 234(12), 1457–1471. https://doi.org/10.1177/0954411920947849
  • [3] Alshatti, A. (2019). Design and Control of Lower Limb Assistive Exoskeleton for Hemiplegia Mobility (Doctoral dissertation). University of Sheffield.
  • [4] Babaiasl, M., Goldar, S. N., Barhaghtalab, M. H., & Meigoli, V. (2015). Sliding mode control of an exoskeleton robot for use in upper-limb rehabilitation. International Conference on Robotics and Mechatronics, ICROM 2015, 694–701. https://doi.org/10.1109/ICRoM.2015.7367867
  • [5] DeCarlo, R. A., Zak, S. H., & Matthews, G. P. (1988). Variable structure control of nonlinear multivariable systems: a tutorial. Proceedings of the IEEE, 76(3), 212–232, https://doi.org/10.1109/5.4400
  • [6] Furlan, A. D., Irvin, E., Munhall, C., Giraldo-Prieto, M., Master, R. M., Danak, S., Costante, A., Pitzul, K. B., Bhide, R. P., Marchenko, S., Mahood, Q., David, J. A., Flannery, J. F., & Bayley, M. (2021). Rehabilitation service models for people with physical and/or mental disability living in low- and middle-income countries: A systematic review. Journal of Rehabilitation Medicine, 50(6), 487–498. https://doi.org/10.2340/16501977- 2325
  • [7] Hung, J. Y., Gao, W., & Hung, J. C. (1993). Variable Structure Control : A Survey. IEEE Trans. Ind. Electron, 40(1), 2–22.
  • [8] Liu, J., Zhang, Y., Wang, J., & Chen, W. (2018). Adaptive sliding mode control for a lower-limb exoskeleton rehabilitation robot. Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018 (pp. 1481–1486). IEEE. https://doi.org/10.1109/ICIEA.2018.8397943
  • [9] Maalej, B., Medhaffar, H., Chemori, A., & Derbel, N. (2020). A Fuzzy Sliding Mode Controller for Reducing Torques Applied to a Rehabilitation Robot. Proceedings of the 17th International Multi-Conference on Systems, Signals and Devices, SSD 2020 (pp. 740–746). https://doi.org/10.1109/SSD49366.2020.9364130
  • [10] Mirjalili, S., & Lewis, A. (2016). The Whale Optimization Algorithm. Advances in Engineering Software, 95, 51–67. https://doi.org/10.1016/j.advengsoft.2016.01.008
  • [11] Mohammed, H. M., Umar, S. U., & Rashid, T. A. (2019). A Systematic and Meta-Analysis Survey of Whale Optimization Algorithm. Computational Intelligence and Neuroscience, 2019, 8718571. https://doi.org/10.1155/2019/8718571
  • [12] Nguyen, T. V. M., Ha, Q. P., & Nguyen, H. T. (1989). A Chattering-Free Variable Structure Controller for Tracking of Robotic Manipulators. Retrivied from https://www.araa.asn.au/acra/acra2003/papers/02.pdf
  • [13] Rezage, G. Al, & Tokhi, M. O. (2016). Fuzzy PID control of lower limb exoskeleton for elderly mobility. 2016 20th IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR 2016 – Proceedings (pp. 1–6). IEEE. https://doi.org/10.1109/AQTR.2016.7501310
  • [14] Rodrigues, A., & Rodrigues, A. (2018). Prise en charge des traumatisés médullaires. Le Praticien En Anesthesie Reanimation, 8–11. https://doi.org/10.1016/j.pratan.2018.08.010
  • [15] Rupal, B. S., Rafique, S., Singla, A., & Singla, E. (2017). Lower-limb exoskeletons : Research trends and regulatory guidelines in medical and non-medical applications. International Journal of Advanced Robotic Systems, November-December, 1–27. https://doi.org/10.1177/1729881417743554
  • [16] Saryanto, W. Y., & Cahyadi, A. I. (2016). Modeling and Design of Low Cost Lower Limb Rehabilitation Robot Control System for Post - Stroke Patient using PWM Controller. International Journal of Mechanical & Mechatronics Engineering IJMME-IJENS, 16(1), 101–108.
  • [17] Winter, D. A. (2009). Biomechanics And Motor Control Of Human Movement (Fourth Ed.). John Wiley & Sons, Inc.
  • [18] Yang, T., & Gao, X. (2020). Adaptive Neural Sliding-Mode Controller for Alternative Control Strategies in Lower Limb Rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(1), 238–247. https://doi.org/10.1109/TNSRE.2019.2946407
  • [19] Zhou, J., Zhou, Z., & Ai, Q. (2016). Impedance Control of the Rehabilitation Robot Based on Sliding Mode Control. Mechanical Engineering and Control Systems, 135–140. https://doi.org/10.1142/9789814740616_003
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0238b824-d6b7-4efe-b24e-cee369258a39
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