제어로봇시스템학회논문지 (Journal of Institute of Control, Robotics and Systems)

  • 제21권5호
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  • Pages.421-426
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  • 2015
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  • 1976-5622(pISSN)
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  • 2233-4335(eISSN)
제어로봇시스템학회 (Institute of Control, Robotics and Systems)
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환자와 로봇의 모델 불확도를 고려한 상지재활로봇의 채터링 없는 슬라이딩 모드 제어

Chattering Free Sliding Mode Control of Upper-limb Rehabilitation Robot with Handling Subject and Model Uncertainties

  • Khan, Abdul Manan (Department of Mechanical Design Engineering, Hanyang University) ;
  • Yun, Deok-Won (Department of Mechanical Engineering, Hanyang University) ;
  • Han, Changsoo (Department of Robot Engineering, Hanyang University ERICA)
  • 투고 : 2015.02.15
  • 심사 : 2015.03.15
  • 발행 : 2015.05.01
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초록

Need to develop human body's posture supervised robots, gave the push to researchers to think over dexterous design of exoskeleton robots. It requires to develop quantitative techniques to assess human motor function and generate the command to assist in compliance with complex human motion. Upper limb rehabilitation robots, are one of those robots. These robots are used for the rehabilitation of patients having movement disorder due to spinal or brain injuries. One aspect that must be fulfilled by these robots, is to cope with uncertainties due to different patients, without significantly degrading the performance. In this paper, we propose chattering free sliding mode control technique for this purpose. This control technique is not only able to handle matched uncertainties due to different patients but also for unmatched as well. Using this technique, patients feel active assistance as they deviate from the desired trajectory. Proposed methodology is implemented on seven degrees of freedom (DOF) upper limb rehabilitation robot. In this robot, shoulder and elbow joints are powered by electric motors while rest of the joints are kept passive. Due to these active joints, robot is able to move in sagittal plane only while abduction and adduction motion in shoulder joint is kept passive. Exoskeleton performance is evaluated experimentally by a neurologically intact subjects while varying the mass properties. Results show effectiveness of proposed control methodology for the given scenario even having 20 % uncertain parameters in system modeling.

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참고문헌

  1. D. Mozaffarian, E. J. Benjamin, D. M. L.-J. Alan S. Go, J. D. Berry, W. B. Borden, D. M. Bravata, S. Dai, E. S. Ford, C. S. Fox, H. J. Fullerton, C. Gillespie, S. M. Hailpern, J. A. Heit, V. J. Howard, B. M. Kissela, S. J. Kittner, D. T. Lackland, J. H. Lichtman, L. D. Lisabeth, D. M. Makuc, G. M. Marcus, A. Marelli, D. B.Matchar, C. S. Moy, D. Mozaffarian, M. E. Mussolino, G. Nichol, N. P. Paynter, E. Z. Soliman, P. D. Sorlie, N. Sotoodehnia, T. N. Turan, S. S. Virani, N. D. Wong, D. Woo, and M. B. Turner, "Heart disease and stroke statistics 2015 update," Circulation, vol. 152, pp. e68, 2015.
  2. S. Barreca, S. L. Wolf, S. Fasoli, and R. Bohannon, "Treatment interventions for the paretic upper limb of stroke survivors: a critical review," Neurorehabilitation and Neural Repair, vol. 17, no. 4, pp. 220-226, 2003. https://doi.org/10.1177/0888439003259415
  3. H. M. Feys,W. J. DeWeerdt, B. E. Selz, G. A. C. Steck, R. Spichiger, L. E. Vereeck, K. D. Putman, and G. A. Van Hoydonck, "Effect of a therapeutic intervention for the hemiplegic upper limb in the acute phase after stroke a singleblind, randomized, controlled multicenter trial," Stroke, vol. 29, no. 4, pp. 785-792, 1998. https://doi.org/10.1161/01.STR.29.4.785
  4. G. Kwakkel, R. C. Wagenaar, J. W. Twisk, G. J. Lankhorst, and J. C. Koetsier, "Intensity of leg and arm training after primary middle-cerebralartery stroke: a randomised trial," The Lancet, vol. 354, no. 9174, pp. 191-196, 1999. https://doi.org/10.1016/S0140-6736(98)09477-X
  5. G. Kwakkel, B. J. Kollen, and H. I. Krebs, "Effects of robot-assisted therapy on upper limb ecovery after stroke: a systematic review," Neurorehabilitation and Neural Repair, 2007.
  6. T. Nef, M. Mihelj, and R. Riener, "Armin: a robot for patient-cooperative arm therapy," Medical & Biological Engineering & Computing, vol. 45, no. 9, pp. 887-900, 2007. https://doi.org/10.1007/s11517-007-0226-6
  7. M. Babaiasl, S. H. Mahdioun, P. Jaryani, and M. Yazdani, "A review of technological and clinical aspects of robot-aided rehabilitation of upper-extremity after stroke," Disability and Rehabilitation: Assistive Technology, no. preprint, pp. 1-18, 2015.
  8. W. Yu and J. Rosen, "A novel linear pid controller for an upper limb exoskeleton," Proc. of Decision and Control (CDC), 2010 49th IEEE Conference on, pp. 3548-3553, IEEE, 2010.
  9. M. Rahman, M. Rahman, O. Cristobal, M. Saad, J. Kenn'e, and P. Archambault, "Development of a whole arm wearable robotic exoskeleton for rehabilitation and to assist upper limb movements," Robotica, vol. 33, no. 01, pp. 19-39, 2015. https://doi.org/10.1017/S0263574714000034
  10. M. W. Spong, S. Hutchinson, and M. Vidyasagar, Robot Modeling and Contro. Upper Saddle iver, NJ: New York: Willey, 2006.
  11. J. Guga, "Cyborg tales: The reinvention of the human in the information age," Beyond Artificial Intelligence, pp. 45-62, Springer, 2015.
  12. X. Jiang, Z. Wang, C. Zhang, L. Yang, C. Loughlin, and C. Loughlin, "Fuzzy neural network control of the rehabilitation robotic arm driven by pneumatic muscles," Industrial Robot: An International Journal, vol. 42, no. 1, 2015.
  13. J. Hill and F. Fahimi, "Active disturbance rejection for walking bipedal robots using the acceleration of the upper limbs," Robotica, vol. 33, no. 02, pp. 264-281, 2015. https://doi.org/10.1017/S0263574714000332
  14. J.-J. E. Slotine and W. Li, Applied Nonlinear Control, Upper Saddle River, NJ: Pearson, 1991. The book can be consulted by contacting: BEABP CC3: Pfingstner, Juergen.
  15. H. Tian and Y. Su, "A repetitive learning method based on sliding mode for robot control with actuator saturation," Journal of Dynamic Systems, Measurement, and Control, 2015.
  16. S. Hussain, S. Q. Xie, and P. K. Jamwal, "Adaptive impedance control of a robotic orthosis for gait rehabilitation," IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2012. Article in Press.
  17. Y. Xu, "Chattering free robust control for nonlinear systems," IEEE Transactions on Control Systems Technology, vol. 16, no. 6, pp. 1352-1359, 2008. cited By (since 1996)25. https://doi.org/10.1109/TCST.2008.919426
  18. Y. Xu and N. Li, "Authors reply to comments on chattering free robust control for nonlinear systems," IEEE Transactions on Control Systems Technology, vol. 20, no. 2, p. 563, 2012. https://doi.org/10.1109/TCST.2011.2116790
  19. D. Winter, Biomechanics and Motor Control of Human Movement: Fourth Edition. 2009.
  20. J. Wicke and G. Dumas, "A new geometricbased model to accurately estimate arm and leg inertial estimates," Journal of Biomechanics, vol. 47, no. 8, pp. 1869-1875, 2014. https://doi.org/10.1016/j.jbiomech.2014.03.020
  21. H.-D. Lee and C.-S. Han, "Techanical trend of the lower limb exoskeleton system for the performance enhancement," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 20, no. 3, pp. 364-371, 2014. https://doi.org/10.5302/J.ICROS.2014.14.9023
  22. J. B. Park and J. Y. Lee, "Nonlinear adaptive control based on Lyapunov analysis: Overview and survey," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 20, no. 3, pp. 261-269, 2014. https://doi.org/10.5302/J.ICROS.2014.14.9013