A Simple Control Method for Exoskeleton for Rehabilitation

International Journal of Electrical and Electronics Engineering
© 2017 by SSRG - IJEEE Journal
Volume 4 Issue 8
Year of Publication : 2017
Authors : TrungHai Do, Duc Tan Vu
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How to Cite?

TrungHai Do, Duc Tan Vu, "A Simple Control Method for Exoskeleton for Rehabilitation," SSRG International Journal of Electrical and Electronics Engineering, vol. 4,  no. 8, pp. 7-12, 2017. Crossref, https://doi.org/10.14445/23488379/IJEEE-V4I8P102

Abstract:

The paper proposes an easy-to-implementtraining system for lower limb rehabilitationoperated by impedance controllers. The proposedrobotic leg exoskeletonconsists ofhip,kneeand ankle joints driven by DC motors. Inverse kinematics with geometric strategy is applied to calculate joint angles from Clinical Gait Analysis (CGA) data. Then, the measured data undergoes a filtering process before being sent to the controllers to improve control quality. 3-DOF dynamic model of the exoskeleton is built by using MATLAB. Finally, performances of the proposed system are validated by simulation results.

Keywords:

  Impedance control, exoskeleton, SimMechanics simulation.

References:

[1] José L.Pons, Promise of an emerging field - Rehabilitation Exoskeletal Robotics, Spain,2010.
[2] Jean-Louis Charles Racine, Control of a Lower Extremity Exoskeleton for Human Performance Amplification,Ph.D dissertation, University of California, Berkeley, 2003.
[3] Y.H. Yin, Y.J. Fan, and L.D. Xu, “EMG and EPP-Integrated Human–Machine Interface Between the Paralyzed and Rehabilitation,” IEEE Transactions on Information Technology in Biomedicine, vol. 16, no. 4, pp. 542-549, 2012.
[4] G. Aguirre-Ollinger, J.E. Colgate, M.A. Peshkin, and A. Goswami, “Inertia Compensation Control of a One-Degree-of-Freedom Exoskeleton for Lower-Limb Assistance: Initial Experiments,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 20, no. 1, pp. 67-77, 2012.
[5]A.M. Dollar and H. Herr, “Lower Extremity Exoskeletons and Active Orthoses: Challenges and State-of-the-Art,”IEEE Transactions on Robotics, vol. 24, no. 1, pp. 144-158, 2008.
[6]Pei Shi, Yi Zhang, Xiuxia Yang, Lower Extremity Exoskeleton Control and Stability Analysis Based on Virtual Prototyping Technique, International Conference on Computer Science and Software Engineering, 2008.
[7] Zhang Sheng, Zhang Hu, Simulation of Exoskeleton’s Virtual Joint Torque Control, International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013).