Investigation of Movements of Lower-Limb Assistive Industrial Device

  • Sergey Jatsun
  • Andrei MalchikovEmail author
  • Andrey Yatsun
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11659)


The present paper deals with the topical issues of the control system development for electric drives of the powered (active) lower-limb exoskeleton device designed for industrial applications. The article explores ways to assist in walking and running modes. Use of special types of the measuring complex allowing to evaluate the operator’s activity and to form the driving signals for electric drives. Particular attention is paid to the simulation of non-linear properties of the electric drive and the measuring system. To assess the results of numerical simulations, a comprehensive criterion for evaluating the quality indicators of the control system, was developed and optimization possibilities for the control system parameters were studied. A comparative analysis of different modes of human moving in assistive industrial device has been presented, and a few proposals for their practical application have been outlined in the article.


Assistive device Industrial assistive device Human-machine interaction Control system 



The work supported by RFBR, research project No 19-01-00540.


  1. 1.
    Jatsun, S., Savin, S., Yatsun, A., Malchikov, A.: Study of controlled motion of exoskeleton moving from sitting to standing position. In: Borangiu, T. (ed.) Advances in Robot Design and Intelligent Control. AISC, vol. 371, pp. 165–172. Springer, Cham (2016). Scholar
  2. 2.
    Vorochaeva, L.Y., Yatsun, A.S., Jatsun, S.F.: Controlling a quasistatic gait of an exoskeleton on the basis of the expert system. SPIIRAS Proc. 3(52), 70–94 (2017)CrossRefGoogle Scholar
  3. 3.
    Jatsun, S., Savin, S., Yatsun, A., Turlapov, R.: Adaptive control system for exoskeleton performing sit-to-stand motion. In: 2015 10th International Symposium on Mechatronics and Its Applications (ISMA), pp. 1–6. IEEE (2015)Google Scholar
  4. 4.
    Jatsun, S., Savin, S., Yatsun, A.: Parameter optimization for exoskeleton control system using sobol sequences. In: Parenti-Castelli, V., Schiehlen, W. (eds.) ROMANSY 21 - Robot Design, Dynamics and Control. CICMS, vol. 569, pp. 361–368. Springer, Cham (2016). Scholar
  5. 5.
    Zoss, A.B., Kazerooni, H., Chu, A.: Biomechanical design of the Berkeley lower extremity exoskeleton (BLEEX). IEEE/ASME Trans. Mechatron. 11(2), 128–138 (2006)CrossRefGoogle Scholar
  6. 6.
    Sankai, Y.: HAL: hybrid assistive limb based on cybernics. In: Kaneko, M., Nakamura, Y. (eds.) Robotics research, vol. 66, pp. 25–34. Springer, Heidelberg (2010). Scholar
  7. 7.
    Kazerooni, H., Steger, R., Huang, L.: Hybrid control of the Berkeley lower extremity exoskeleton (BLEEX). Int. J. Robot. Res. 25(5–6), 561–573 (2006)CrossRefGoogle Scholar
  8. 8.
    Banala, S.K., Agrawal, S.K., Kim, S.H., Scholz, J.P.: Novel gait adaptation and neuromotor training results using an active leg exoskeleton. IEEE/ASME Trans. Mechatron. 15(2), 216–225 (2010)CrossRefGoogle Scholar
  9. 9.
    Rosen, J., Brand, M., Fuchs, M.B., Arcan, M.: A myosignal-based powered exoskeleton system. IEEE Trans. Syst. Man. Cybern. Part A Syst. Hum. 31(3), 210–222 (2001)CrossRefGoogle Scholar
  10. 10.
    Veneman, J.F., et al.: Design and evaluation of the LOPES exoskeleton robot for interactive gait rehabilitation. IEEE Trans. Neural Syst. Rehabil. Eng. 15(3), 379–386 (2007)CrossRefGoogle Scholar
  11. 11.
    Pratt G.A., Williamson, M.M.: Series elastic actuators. In: IEEE/RSJ International Conference on Intelligent Robots and Systems 95. ‘Human Robot Interaction and Cooperative Robots’. Proceedings, vol. 1, pp. 399–406. IEEE (1995)Google Scholar
  12. 12.
    Ortega, R., Kelly, R., Loria, A.: A class of output feedback globally stabilizing controllers for flexible joints robots. IEEE Trans. Robot. Autom. 11(5), 766–770 (1995)CrossRefGoogle Scholar
  13. 13.
    Yamamoto, K., Hyodo, K., Ishii, M., Matsuo, T.: Development of power assisting suit for assisting nurse labor. JSME Int. J. Ser. C 45(3), 703–711 (2002)CrossRefGoogle Scholar
  14. 14.
    Anam, K., Al-Jumaily, A.A.: Active exoskeleton control systems: state of the art. Proc. Eng. 41, 988–994 (2012)CrossRefGoogle Scholar
  15. 15.
    Aguirre-Ollinger, G., Colgate, J.E., Peshkin, M.A., Goswami, A.: Active-impedance control of a lower-limb assistive exoskeleton. In: IEEE 10th International Conference on Rehabilitation Robotics, ICORR 2007, pp. 188–195. IEEE (2007)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Sergey Jatsun
    • 1
  • Andrei Malchikov
    • 1
    Email author
  • Andrey Yatsun
    • 1
  1. 1.Southwest State UniversityKurskRussia

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