Tracking Control of FES Alternate Knee sBending and Stretching Trike in Consideration of Running Velocity

This paper considers the control method for functional electrical stimulation (FES) alternate knee bending and stretching trike system that takes into account the running velocity in outdoor environments for rehabilitation for patients with a motor system disorder (e.g., spinal cord injury or Parkinson’s disease). The control objective of the proposed controller is to make the running velocity of the trike follow the desired one. FES trike and a rider are modeled by considering running resistances, characteristics of the freewheel, and force direction of each lower limb’s 2 muscle groups. Stability of the developed controller is analyzed through Lyapunov-based methods.

[1]  Hiroyuki Kawai,et al.  FES knee bending and stretching system with RISE-based tracking control for human limb , 2015, 2015 IEEE Conference on Control Applications (CCA).

[2]  Warren E. Dixon,et al.  Switched Control of Cadence During Stationary Cycling Induced by Functional Electrical Stimulation , 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[3]  Abbas Erfanian,et al.  A Decentralized Modular Control Framework for Robust Control of FES-Activated Walker-Assisted Paraplegic Walking Using Terminal Sliding Mode and Fuzzy Logic Control , 2012, IEEE Transactions on Biomedical Engineering.

[4]  Yasunobu Handa,et al.  Review: Clinical benefits of functional electrical stimulation cycling exercise for subjects with central neurological impairments , 2011 .

[5]  R A Cooper,et al.  A systems approach to the modeling of racing wheelchair propulsion. , 1990, Journal of rehabilitation research and development.

[6]  R. Davoodi,et al.  Development of an indoor rowing machine with manual FES controller for total body exercise in paraplegia , 2002, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[7]  T. Bajd,et al.  Nonlinear modeling of FES-supported standing-up in paraplegia for selection of feedback sensors , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[8]  Manabu Kosaka,et al.  FES Control Design for Paraplegia Using Indoor Rrowing Machine , 2009, 2009 WRI Global Congress on Intelligent Systems.

[9]  Stefano Pastorelli,et al.  Design and Test of a Biomechanical Model for the Estimation of Knee Joint Angle During Indoor Rowing: Implications for FES-Rowing Protocols in Paraplegia , 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[10]  Hiroyuki Kawai,et al.  Closed-Loop Position and Cadence Tracking Control for FES-Cycling Exploiting Pedal Force Direction With Antagonistic Biarticular Muscles , 2019, IEEE Transactions on Control Systems Technology.

[11]  Hiroyuki Kawai,et al.  FES-assisted cycling with velocity tracking control for hemiparesis rehabilitation , 2017, 2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM).