The Dead Zone Determination for Exoskeleton Arm with Double Mode Control System

I. L. Ermolov, M. M. Knyazkov, A. N. Sukhanov, A. A. Kryukova

Abstract

The main goal of this paper is to determine the dead zone of control signal to provide the modes shift in the exoskeleton control system. The kinematic system consists of two subsystems for left and right hands. Each subsystem has 4 DOF and it is controlled individually. The control system for the designed exoskeleton device is based on bioelectric potentials processing. It uses the information about muscular activity to form the rotation speed of exoskeleton drives. The exoskeleton’s servo drive system is based on the feedback technique of acquiring information from the actuators and passing it to the control system via the HMI. The dead zone of control signal allows shifting control modes to let the exoskeleton device running in two modes – the setting speed mode and angle tracking mode. The dead zone of control signal also allows signal noise and positioning error reduction. The proposed idea is the definition of the dead zone as nonlinear function of joint coordinates.

References

  1. Ward, J., Sugar, T., Standeven, J., and Engsberg, J., 2010. Stroke Survivor Gait Adaptation and Performance After Training on a Powered Ankle Foot Orthosis, 2010 IEEE International Conference on Robotics and Automation, Anchorage Convention District, May 3-8, Anchorage, Alaska, USA
  2. Gurfinkel, V. S., Malkin, V. B., Cetlin, M. L., Shneider, A. Yu., 1972. Bioelectricheskoe upravlenie (Bioelectric control), Nauka, Moscow, 247p. (in Russian)
  3. Mistry, M., Mohajerian, P., Schaal, S., 2005. Arm Movement Experiments with Joint Space Force Fields using an Exoskeleton Robot, Proceedings of the 2005 IEEE, 9th International Conference on Rehabilitation Robotics June 28 - July 1, Chicago, IL, USA,
  4. Gradetsky, V., Kalinichenko, S., Kravchuk, L., Lopashov, V., 2010. “Modular Design and Mechatronic Approaches to the Exoskeleton System”, Lecture Notes of the ICB Seminars Biomechanics, Biomechanics of the Musculoskeletal System
  5. Gradetsky, V. G., Ermolov, I. L., Knyazkov, M. M. Semyonov, E.A., Sukhanov, A.N. 2014. «Experimental Investigation of Human Exoskeleton Model», Proceedings of ROMANSY 2014 XX CISM-IFToMM Symposium on Theory and Practice of Robots and Manipulators, Moscow, Russia, June 23, 2014 - June 26, published in the “Springer Verlag” ?22, pp. 275- 281.
  6. Vukobratovic, M., Stokic, D., 1982. Scientific Fundamentals of Robotics, Control of Manipulation Robots: Theory and Application, Springer-Verlag, Vol.2.
  7. Vukobratovic, M., Borovac, B., Surla, D., Stokic, D., 1989. Scientific Fundamentals of Robotics, Biped Locomotion: Dynamics, Stability, Control and Application, Springer-Verlag, Vol.7.
  8. Hidalgo, M., Sanchez, A., Tene, G., Fuzzy Control of a 2005, Robotic Arm Using EMG Signals, Department of Automatization and Industrial Control,
  9. Jain, R. K., Datta, S. and Majumder, S., 2012. Design and Control of an EMG Driven IPMC Based Artificial Muscle Finger, Second International Conference on Innovative Computing Technology (INTECH 2012) September 18-20, Casablanca, Morocco
  10. Saponas, T. S., Tan, D. S., Morris, D. & Balakrishnan R., 2008. Demonstrating the feasibility of using forearm electromyography for muscle-computer Interfaces, CHI 2008, April 5-10, Florence, Italy
  11. Zuniga, E. N., Simons, G. D., 1969. Nonlinear relations between averaged electromyogram potential and muscle tension in normal subjects. - Arch. Phys. Med. And Rehabilit., pp.613-620.
  12. De Luca, C. J., 2002. Surface Electromyography: Detection and Recording, by DelSys Incorporated.
  13. Day, S., 2002. Important Factors in Surface EMG Measurement, Bortec Biomedical Ltd
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Paper Citation


in Harvard Style

Ermolov I., Knyazkov M., Sukhanov A. and Kryukova A. (2016). The Dead Zone Determination for Exoskeleton Arm with Double Mode Control System . In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-198-4, pages 274-279. DOI: 10.5220/0005977302740279


in Bibtex Style

@conference{icinco16,
author={I. L. Ermolov and M. M. Knyazkov and A. N. Sukhanov and A. A. Kryukova},
title={The Dead Zone Determination for Exoskeleton Arm with Double Mode Control System},
booktitle={Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2016},
pages={274-279},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005977302740279},
isbn={978-989-758-198-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - The Dead Zone Determination for Exoskeleton Arm with Double Mode Control System
SN - 978-989-758-198-4
AU - Ermolov I.
AU - Knyazkov M.
AU - Sukhanov A.
AU - Kryukova A.
PY - 2016
SP - 274
EP - 279
DO - 10.5220/0005977302740279