Effect of Subject Mass with Feedback Linearisation Controller for Induced Sit-to-Stand Regulation

Mohammed Ahmed, M. Saif Huq, Babul S. K. K. Ibrahim

Abstract

Presented is the application of the Feedback Linearisation Control (FLC) method for compensation of variations in human masses for the restoration of sit-to-stand movement function with the aid of Functional Electrical Stimulation. According to literature, enhancement of the control system of such arrangements, which is one of the promising techniques employed is required to attain the desired goal. Hence, improving the system by making it more accurate and robust with aim ushering such devices towards clinical acceptance. The FLC approach is employed, and effort is made to investigate the effect of global human mass distribution as obtained in the literature. The plant is modelled by using the Newton-Euler and Euler-Lagrange methods for the segment dynamics, and the muscles model is adopted from the previous works. The plant for the study is the paraplegic subject and for sit-to-stand movement revival. The control system tries to maintain the stimulation current optimum during the entire process. Results show remarkable improvements with a drastic reduction in the stimulation current, the rate of change in the stimulation current, and the tracking error. Therefore, the system would have a drastic enhancement in accuracy and delayed attainment of fatigue.

Keywords

Feedback linearisation control; Functional electrical stimulation; Induced sit-to-stand; Paraplegia; Robustness.

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References

Y. Chen, J. Hu, L. Peng and Z. Hou, The FES-assisted control for a lower limb rehabilitation robot: simulation and experiment, Robotics and Biomimetics, 1(2), 1-20, 2014.

N. Arantes, D. Vaz, M. Mancini, M. Pereira, F. Pinto and T. Pinto, Effects of functional electrical stimulation applied to the wrist and finger muscles of hemiparetic subjects: a systematic review of the literature, Brazilian Journal of Physical Therapy, 11, 419-427, 2007.

A. Papachristos, Functional electrical stimulation in paraplegia, in Topics in Paraplegia, Y. Dionyssiotis, Ed. London: IntechOpen, 2014.

G. P. Braz, M. Russold and G. M. Davis, Functional electrical stimulation control of standing and stepping after spinal cord injury: A review of technical characteristics, Neuromodulation: Technology at the Neural Interface, 12, 180-190, 2009.

Memo for Neuromuscular Electrical Stimulation (NMES) for Spinal Cord Injury (Website). http://www.cms.gov/medicare-coverage-database/details/Decision (accessed 24.11.2015).

J. Villagra and C. Balaguer, A model-free approach for accurate joint motion control in humanoid locomotion, International Journal of Humanoid Robotics, 8, 27-46, 2011.

S. H. Sadati, S. E. Naghibi, I. D. Walker, K. Althoefer and T. Nanayakkara, Control space reduction and real-time accurate modeling of continuum manipulators using ritz and ritz–galerkin methods, IEEE Robotics and Automation Letters, 3, 328-335, 2018.

A. Tsukahara, R. Kawanishi, Y. Hasegawa and Y. Sankai, Sit-to-stand and stand-to-sit transfer support for complete paraplegic patients with robot suit HAL, Advanced Robotics, 24, 1615-1638, 2010.

A. Fattah, M. Hajiaghamemar and A. Mokhtarian, Design of a semi-active semi-passive assistive device for sit-to-stand tasks, Proceedings of 16th Annual (International) Conference on Mechanical Engineering (ISME2008), Kerman, 2008, pp. 1-6.

N.-Y. Yu, J.-J. J. Chen, and M. S. Ju, Closed-loop control of quadriceps/hamstring activation for FES-induced standing-up movement of paraplegics, Journal of Musculoskeletal Research, 5, 173-184, 2001.

F. Previdi, M. Ferrarin, S. M. Savaresi, and S. Bittanti, Closed-loop control of FES supported standing up and sitting down using Virtual Reference Feedback Tuning, Control Engineering Practice, 13, 1173-1182, 2005.

M. S. Poboroniuc, New experimental results on feedback control of FES-based standing in paraplegia, AL.I.CUZA University Scientific Annals of Biophysics, Medical Physics and Environment Physics, 3, 83-89, 2007.

C. Lynch and M. Popovic, Closed-loop control for FES: Past work and future directions, Proceedings of 10th Annual Conference of the International FES Society, Montreal, 2005, pp. 2-4.

C. L. Lynch and M. R. Popovic, A comparison of closed-loop control algorithms for regulating electrically stimulated knee movements in individuals with spinal cord injury, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 20, 539-548, 2012.

R. Davoodi and B. J. Andrews, Computer simulation of FES standing up in paraplegia: A self-adaptive fuzzy controller with reinforcement learning, IEEE Transactions on Rehabilitation Engineering, 6, 151-161, 1998.

R. Davoodi and B. J. Andrews, Optimal control of FES-assisted standing up in paraplegia using genetic algorithms, Medical Engineering & Physics, 21, 609-617, 1999.

R. Hussain, R. Massoud and M. Al-Mawaldi, ANFIS-PID control FES-supported sit-to-stand in paraplegics:(Simulation Study), Journal of Biomedical Science and Engineering, 7, 208-217, 2014.

R. Massoud, The influence of control design on energetic cost during FES induced sit-to-stand, Journal of Biomedical Science and Engineering, 7, 1096-1104, 2014.

T. Afzal, L. Khan and M. Tokhi, Simulation of a patient driven strategy for FES supported sit-to-stand movement, Proceedings of 2010 International Conf. Information and Emerging Technologies (ICIET), Karachi, 2010, pp. 1-5.

M. Huq and M. Tokhi, Genetic algorithms based approach for designing spring brake orthosis–Part II: Control of FES induced movement, Applied Bionics and Biomechanics, 9, 317-331, 2012.

R. M. Esfanjani and F. Towhidkhah, Application of nonlinear model predictive controller for FES-assisted standing up in paraplegia, Proceedings of 27th Annual Conference on Engineering in Medicine and Biology Society IEEE-EMBS 2005, Shanghai, 2006, pp. 6210-6213.

M. Ferrarin and A. Pedotti, The relationship between electrical stimulus and joint torque: A dynamic model, IEEE Transactions on Rehabilitation Engineering, 8, 342-352, 2000.

RehaMove, FES Cycling with RehaMove, ed. Germany: Hasomed, 2014.

RehaMove, Functional Electrical Stimulation, FES Applications, ed: Hasomed, 2015.

J. J. E. Slotine and W. Li, Applied Nonlinear Control, Englewood Cliffs, NJ: Prentice Hall, 1991.

H. K. Khalil, Nonlinear Systems, 3rd ed., Upper Saddle River, NJ: Prentice Hall, 2002.

C. D. Fryar, Q. Gu, C. L. Ogden, and K. M. Flegal, Anthropometric reference data for children and adults: United States, 2011-2014, Vital and Health Statistics, 3(39), 1-38, 2016.

S. C. Walpole, D. Prieto-Merino, P. Edwards, J. Cleland, G. Stevens and I. Roberts, The weight of nations: an estimation of adult human biomass, BMC Public Health, 12(439), 1-6, 2012.

A. K. Chang and J. Y. Choi, Factors influencing BMI classifications of Korean adults, Journal of Physical Therapy Science, 27, 1565-1570, 2015.

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