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Robust Lyapunov-based motion control of a redundant upper limb cable-driven rehabilitation robot

Published online by Cambridge University Press:  14 March 2022

Niloufar Sadat Seyfi
Affiliation:
Department of Mechanical Engineering, Faculty of Engineering, Kharazmi University, Tehran, 15719-14911, Iran
Ali Keymasi Khalaji*
Affiliation:
Department of Mechanical Engineering, Faculty of Engineering, Kharazmi University, Tehran, 15719-14911, Iran
*
*Corresponding author. E-mail: [email protected]

Abstract

This research presents an upper limb cable-driven rehabilitating robot with one degree of redundancy to improve the movements of the injured. A spatial trajectory is planned through the joint limit avoidance approach to apply the limits of the joint angles, which is a new method for trajectory planning of joints with an allowed definite interval. Firstly, a Lyapunov-based control is applied to the robot with taking uncertainty and disturbances into consideration. To derive the best responses of the system with considering uncertainty and disturbances, a novel robust tracking controller, namely a computed-torque-like with independent-joint compensation, is introduced. The mentioned new robust controller has not been applied to any cable robot which is the novelty of this paper to derive a superior output and the robustness of the given approach. Stability analysis of both controllers is demonstrated and the outputs of the controllers are compared for an exact three-dimensional motion planning and desirable cable forces. Eventually, the proposed novel controller revealed a better function in the presence of uncertainties and disturbances with about 28.21% improvement in tracking errors and 69.22% improvement in the required cable forces as control inputs, which is a considerable figure.

Type
Research Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press

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References

Niu, J., Yang, Q., Wang, X. and Song, R., “Sliding mode tracking control of a wire-driven upper-limb rehabilitation robot with nonlinear disturbance observer,” Front. Neurol. 8, 646 (2017).10.3389/fneur.2017.00646CrossRefGoogle ScholarPubMed
Wang, J., Li, W., Chen, W. and Zhang, J., “Motion Control of a 4-DOF Cable-Driven Upper Limb Exoskeleton,” In: 14th IEEE Conference on Industrial Electronics and Applications (ICIEA) (IEEE, 2019) pp. 21292134.10.1109/ICIEA.2019.8834169CrossRefGoogle Scholar
Mustafa, S. K. and Agrawal, S. K., “On the force-closure analysis of n-DOF cable-driven open chains based on reciprocal screw theory,” IEEE Trans. Robot. 28(1), 2231 (2011).CrossRefGoogle Scholar
Cui, X., Chen, W., Yang, G. and Jin, Y., “Closed-Loop Control for a Cable-driven Parallel Manipulator with Joint Angle Feedback,” In: IEEE/ASME International Conference on Advanced Intelligent Mechatronics (IEEE, 2013) pp. 625630.Google Scholar
Chen, W., Cui, X., Yang, G., Chen, J. and Jin, Y., “Self-feedback motion control for cable-driven parallel manipulators,” Proc. Inst. Mech. Eng. C 228(1), 7789 (2014).CrossRefGoogle Scholar
Jones, C. L., Wang, F., Morrison, R., Sarkar, N. and Kamper, D. G., “Design and development of the cable actuated finger exoskeleton for hand rehabilitation following stroke,” IEEE/ASME Trans. Mechatron. 19(1), 131140 (2012).10.1109/TMECH.2012.2224359CrossRefGoogle ScholarPubMed
Zanotto, D., Rosati, G., Minto, S. and Rossi, A., “Sophia-3: A semiadaptive cable-driven rehabilitation device with a tilting working plane,” IEEE Trans. Robot. 30(4), 974979 (2014).10.1109/TRO.2014.2301532CrossRefGoogle Scholar
Gaponov, I., Popov, D., Lee, S. J. and Ryu, J.-H., “Auxilio: A portable cable-driven exosuit for upper extremity assistance,” Int. J. Control Autom. Syst. 15(1), 7384 (2017).CrossRefGoogle Scholar
Niu, J., Yang, Q., Chen, G. and Song, R., “Nonlinear Disturbance Observer Based Sliding Mode Control of aCable-driven Rehabilitation Robot,” In: International Conference on Rehabilitation Robotics (ICORR) (IEEE, 2017) pp. 664669.CrossRefGoogle Scholar
Tee, K. P., Yan, R. and Li, H., “Adaptive Admittance Control of a Robot Manipulator Under Task Space Constraint,” In: IEEE International Conference on Robotics and Automation (IEEE, 2010) pp. 51815186.Google Scholar
Mao, Y. and Agrawal, S. K., “A Cable Driven Upper Arm Exoskeleton for Upper Extremity Rehabilitation,” In: IEEE International Conference on Robotics and Automation (IEEE, 2011) pp. 41634168.CrossRefGoogle Scholar
Mehdi, H. and Boubaker, O., “Stiffness and impedance control using Lyapunov theory for robot-aided rehabilitation,” Int. J. Soc. Robot. 4(1), 107119 (2012).10.1007/s12369-011-0128-5CrossRefGoogle Scholar
Yamashita, M., “Robotic rehabilitation system for human upper limbs using guide control and manipulability ellipsoid prediction,” Proc. Technol. 15, 559565 (2014).CrossRefGoogle Scholar
Khan, A. M., Yun, D.-w, Ali, M. A., Han, J., Shin, K. and Han, C., “Adaptive Impedance Control for Upper Limb Assist Exoskeleton,” In: IEEE International Conference on Robotics and Automation (ICRA) (IEEE, 2015) pp. 43594366.10.1109/ICRA.2015.7139801CrossRefGoogle Scholar
Chen, W., Cui, X., Zhang, J. and Wang, J., “A cable-driven wrist robotic rehabilitator using a novel torque-field controller for human motion training,” Rev. Sci. Instrum. 86(6), 065109 (2015).CrossRefGoogle ScholarPubMed
Yang, Q., Niu, J. and Song, R., “Admittance Control of a 3-DOF Cable-driven Rehabilitation Robot for Upper-Limb in Three Dimensional Workspace,” In: 2nd International Conference on Advanced Robotics and Mechatronics (ICARM) (IEEE, 2017) pp. 445449.Google Scholar
Oyman, E. L. and Arslan, M. S., “Impedance-Based Control of a Cable Driven Rehabilitation Robot,” In: 6th International Conference on Control Engineering & Information Technology (CEIT) (IEEE, 2018) pp. 16.10.1109/CEIT.2018.8751813CrossRefGoogle Scholar
Ni, W., Li, H., Jiang, Z., Zhang, B. and Huang, Q., “Motion and force control method of 7-DOF cable-driven rehabilitation exoskeleton robot,” Assembly Autom. 38(5), 595605 (2018).Google Scholar
Xiong, H. and Diao, X., “Motion Control of Cable-Driven Rehabilitation Devices with Large Deformation Cables,” In: IEEE International Conference on Cyborg and Bionic Systems (CBS) (IEEE, 2018) pp. 537543.10.1109/CBS.2018.8612272CrossRefGoogle Scholar
Fang, Q., Li, G., Xu, T., Zhao, J., Cai, H. and Zhu, Y., “A simplified inverse dynamics modelling method for a novel rehabilitation exoskeleton with parallel joints and its application to trajectory tracking,” Math. Probl. Eng. 2019(5), 110 (2019).Google Scholar
Chen, C.-T., Lien, W.-Y., Chen, C.-T., Twu, M.-J. and Wu, Y.-C., “Dynamic modeling and motion control of a cable-driven robotic exoskeleton with pneumatic artificial muscle actuators,” IEEE Access 8, 149796149807 (2020).10.1109/ACCESS.2020.3016726CrossRefGoogle Scholar
Yang, Q., Xie, C., Tang, R., Liu, H. and Song, R., “Hybrid active control with human intention detection of an upper-limb cable-driven rehabilitation robot,” IEEE Access 8, 195206195215 (2020).CrossRefGoogle Scholar
Izadbakhsh, A. and Khorashadizadeh, S., “Polynomial-based robust adaptive impedance control of electrically driven robots,” Robotica 39(7), 11811201 (2021).Google Scholar
Fateh, M. M. and Khorashadizadeh, S., “Optimal robust voltage control of electrically driven robot manipulators,” Nonlinear Dynam. 70(2), 14451458 (2012).CrossRefGoogle Scholar
Seyfi, N. S. and Khalaji, A. K., “Robust control of a cable-driven rehabilitation robot for lower and upper limbs,” ISA Trans. 8(5), 256 (2021).Google Scholar
Siciliano, B. and Khatib, O.. Springer Handbook of Robotics (Springer, 2016).CrossRefGoogle Scholar