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Velocity and Force Transfer Performance Analysis of a Parallel Hip Assistive Mechanism

Published online by Cambridge University Press:  14 January 2020

Jianfeng Li
Affiliation:
College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China
Leiyu Zhang*
Affiliation:
College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China
Mingjie Dong
Affiliation:
College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China
Shiping Zuo
Affiliation:
College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China
Yandong He
Affiliation:
College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China
Pengfei Zhang
Affiliation:
College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China
*
*Corresponding author. E-mail: zhangleiyu@bjut.edu.cn

Summary

Against the backdrop of accelerated ageing around the globe, an increasing number of individuals suffer from hip motion disability and gait disorders. In this paper, the performance analysis of a novel parallel assistive mechanism with 2 DOF for hip adduction/abduction (AB/AD) and flexion/extension (FL/EX) assistance is completed and evaluated, particularly the velocity and force transfer features. The analysis shows that the assistive mechanism has advantages of fine motion assistive isotropy, high force transfer ratio and large force isotropic radius, which indicates that the parallel assistive mechanism is suitable for hip AB/AD and FL/EX assistance.

Type
Articles
Copyright
© Cambridge University Press 2020 

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References

Verghese, J., LeValley, A., Hall, C. B., Katz, M. J., Ambrose, A. F. and Lipton, R. B., “Epidemiology of gait disorders in community-residing older adults,” J. Am. Geriatr. Soc. 54(2), 255261 (2006).CrossRefGoogle ScholarPubMed
Wilson, R. S., Schneider, J. A., Beckett, L. A., Evans, D. A. and Bennett, D. A., “Progression of gait disorder and rigidity and risk of death in older persons,” Neurology 58(12), 18151819 (2002).CrossRefGoogle ScholarPubMed
Reece, A. S. and Hulse, G. K., “Duration of opiate exposure as a determinant of arterial stiffness and vascular age in male opiate dependence: a longitudinal study,” J. Clin. Pharm. Therap. 39(2), 158167 (2014).CrossRefGoogle ScholarPubMed
Ferris, D. P. and Lewis, C. L., “Robotic Lower Limb Exoskeletons using Proportional Myoelectric Control,” Proceedings of the 31st Annual International Conference of the IEEE EMBS, Minneapolis, Minnesota (2009) pp. 21192124.Google Scholar
Lewis, C. L. and Ferris, D. P., “Invariant hip moment pattern while walking with a robotic hip exoskeleton,” J. Biomech. 44(5), 789793 (2011).CrossRefGoogle ScholarPubMed
Giovacchini, F., Vannetti, F., Fantozzi, M., Cempini, M., Cortese, M., Parri, A., Yan, T., Lefeber, D., and Vitielloa, N., “A light-weight active orthosis for hip movement assistance,” Robot. Auton. Syst. 73(2015), 123134 (2015).CrossRefGoogle Scholar
Giovacchini, F., Fantozzi, M., and Peroni, M., “A Light-Weight Exoskeleton for Hip Flexion-Extension Assistance,” Proceedings of the International Congress on Neurotechnology, Electronics and Informatics, Algarve, Portugal (2013) pp. 194198.Google Scholar
Pratt, J. E., Krupp, B. T., Morse, C. J., and Collins, S. H., “The Roboknee: An Exoskeleton for Enhancing Strength and Endurance during Walking,” Proceedings of the 2004 IEEE International Conference on Robotics & Automation, New Orleans, LA, USA (2004) pp. 24302435.Google Scholar
Schiele Helm, A. and Van, D. F. C. T., “Kinematic design to improve ergonomics in human machine interaction,” IEEE Trans. Neural Syst. Rehabilit. Eng. 14(4), 456469 (2006).CrossRefGoogle Scholar
Jarrasseì, N. and Morel, G., “Connecting a human limb to an exoskeleton,” IEEE Trans. Robot. 28(3), 697709 (2013).CrossRefGoogle Scholar
Matari, M. J., Eriksson, J., Feil-Seifer, D. J. and Winstein, C. J., “Socially assistive robotics for post-stroke rehabilitation,” J. Neuro Eng. Rehabil. 4(1), 19 (2007).Google Scholar
Wu, Q., Wang, X., Du, F. and Zhang, X., “Design and control of a powered hip exoskeleton for walking assistance,” Int. J. Adv. Robot. Syst. 12(5), 112 (2015).CrossRefGoogle Scholar
Olivier, J., Ortlieb, A., Bouri, M. and Bleuler, H., “Mechanisms for actuated assistive hip orthoses,” Robot. Auton. Syst. 73(2015), 5967 (2015).CrossRefGoogle Scholar
Li, J., Zhang, Z., Tao, C., and Ji, R., “Structure design of lower limb exoskeletons for gait training,” Chinese J. Mech. Eng. 28(5), 878887 (2015).CrossRefGoogle Scholar
Fang, B., Sun, F., Liu, H., Tan, C. and Guo, D., “A glove-based system for object recognition via visual-tactile fusion,” Sci. China Inf. Sci. 62(5), 674685 (2019).CrossRefGoogle Scholar
Chi, Z., Pan, M. and Zhang, D., “Design of a Three DOFs MEMS-based Precision Manipulator,” Proceedings of the International Conference on Robot Vision and Signal Processing, Kaohsiung City, Taiwan (2011) pp. 1417.Google Scholar
Yu, Y., Tao, H., and Liang, W., “A Parallel Mechanism Used on Human Hip Joint Power Assist” Proceedings of 2009 IEEE International Conference on Robotics and Biomimetics, Guilin, China (2009) pp. 10071012.Google Scholar
Yu, Y. and Liang, W., “Manipulability inclusive principle for hip joint assistive mechanism design optimization,” Int. J. Adv. Manuf. Technol. 70(5), 929945 (2014).CrossRefGoogle Scholar
Li, J., Li, S., Zhang, L., Tao, C. and Ji, R., “Position solution and kinematic interference analysis of a novel parallel hip assistive mechanism,” Mech. Mach. Theory 120(2), 265287 (2018).CrossRefGoogle Scholar
Yoshikawa, T., “Manipulability of robotic mechanisms,” Int. J. Robot. Res. 4(2), 39 (1985).CrossRefGoogle Scholar
Zhang, L., Li, J., Su, P., Song, Y., Dong, M. and Cao, Q., “Improvement of human-machine compatibility of upper-limb rehabilitation exoskeleton using passive joints,” Robot. Auton. Syst. 112(2019), 2231 (2019).CrossRefGoogle Scholar
Merlet, J. P., “Jacobian, manipulability, condition number, and accuracy of parallel robots,” J. Mech. Des. 128(1), 199206 (2006).Google Scholar
Chiu, S. L., “Task compatibility of manipulator postures,” Int. J. Robot. Res. 74(5), 1321 (1988).CrossRefGoogle Scholar
Kim, H. S. and Choi, Y. J., “Forward/inverse force transmission capability analyses of fully parallel manipulators,” IEEE Trans. Robot. Autom. 17(4), 526531 (2001).CrossRefGoogle Scholar
Graettinger, T. J. and Krogh, N. H., “The acceleration radius: a global performance measure for robotic manipulators,” IEEE J. Robot. Autom. 4(1), 6069 (1988).CrossRefGoogle Scholar
Kim, C. Y. and Yoon, Y. S., “Task space dynamic analysis for multi-arm robot using isotropic velocity and acceleration radii,” Robotica 15(3), 319329 (1997).CrossRefGoogle Scholar
Chiacchio, P., Chiaverini, S., Sciavicco, L. and Siciliano, B., “Task space dynamic analysis of multi-arm system configurations,” Int. J. Robot. Res. 10(6), 708715 (1991).Google Scholar
Kim, Y. and Desa, S., “Definition, determination, and characterization of acceleration sets for spatial manipulators,” Int. J. Robot. Res. 12(6), 572587 (1993).CrossRefGoogle Scholar
Chiacchio, P., Vercelli, Y. B. and Pierrot, F., “Force polytope and force ellipsoid for redundant manipulators,” J. Robot. Syst. 14(8), 613620 (1997).3.0.CO;2-P>CrossRefGoogle Scholar
Zhang, W., Zhang, W., Shi, D. and Ding, X., “Design of hip joint assistant asymmetric parallel mechanism and optimization of singularity-free workspace,” Mech. Mach. Theory 122(2018), 389403 (2018).CrossRefGoogle Scholar