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Compliance Control Method of Exoskeleton Robot Assisted by Lower Limb Knee Joint Based on Gait Recognition

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13013))

Abstract

To realize compliance control of lower limb-assisted exoskeleton robot, a control method based on human gait recognition is adopted to design the controller. In this paper, force control strategy and position control strategy are adopted respectively in stance phase and swing phase of human walking. Walking experiment shows that, in the stance phase, force output can quickly track the force command and realize the rapid response output of force. And in the swing phase, position control can make the system position output appropriate. In sum, the system has good assistance response characteristics and adaptive cable release control, which meets the expected requirements of the design.

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References

  1. Yang, C., Chen, Y., Lu, Y.: Study on the humachine intelligent system and its application. Chin. J. Mech. Eng. 36(6), 42–47 (2000)

    Article  Google Scholar 

  2. Yan, T., Cempini, M., Oddo, C.: Review of assistive strategies in powered lower-limb orthoses and exoskeletons. Robot. Auton. Syst. 64, 120–136 (2015)

    Article  Google Scholar 

  3. Song, Q., Wang, X., Wang, X.: Development of multi-joint exoskeleton-assisted robot and its key technology analysis: an overview. Acta Armamentarii 37(1), 172–185 (2016)

    Google Scholar 

  4. Li, J., Zhu, L., Gou, X.: Survey on exoskeleton lower limbs rehabilitation robot and key technologies. Chin. Med. Equip. J. 38(8), 95–100 (2018)

    Google Scholar 

  5. Zanotto, D., Akiyama, Y., Stegall, P.: Knee joint misalignment in exoskeletons for the lower extremities: Effects on user’s gait. IEEE Trans. Robot. 31(4), 978–987 (2015)

    Article  Google Scholar 

  6. Li, J., Deng, C., Zhang, Z.: Design and kinematics analysis of the exoskeleton mechanism for detecting motion information of lower-limb arthosis. J. Beijing Univ. Technol. 8, 1127–1133 (2013)

    Google Scholar 

  7. Schiele, A., Helm, F.: Kinematic design to improve ergonomics in human machine interaction. IEEE Trans. Neural Syst. Rehabil. Eng. 14(4), 456–469 (2006)

    Article  Google Scholar 

  8. Dollar, A., Herr, H.: Lower extremity exoskeletons and activeorthoses: Challenges and state-of-the-art. IEEE Trans. Robot. 24(1), 144–158 (2008)

    Article  Google Scholar 

  9. Zhao, X., Tan, X.: Development of soft lower extremity exoskeleton and its key technologies: a survey. Robots 42(3), 365–384 (2020)

    Google Scholar 

  10. Yin, Y., Fan, Y., Xu, L.: EMG and EPP-integrated human-machine interface between the paralyzed and rehabilitation exoskeleton. IEEE Trans. Inf Technol. Biomed. 16(4), 542–549 (2012)

    Article  Google Scholar 

  11. George, T., Shalu, G., Sivanandan, K.: Sensing, processing and application of EMG signals for HAL (hybrid assistive limb). In: International Conference on Sustainable Energy and Intelligent Systems, Stevenage, UK, pp. 749–753 (2011)

    Google Scholar 

  12. Kasaoka, K., Sankai, Y.: Predictive control estimating operator’s intention for stepping-up motion by exo-skeleton type power assist system HAL. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, Piscataway, USA, pp. 1578–1583 (2001)

    Google Scholar 

  13. Kawamoto, H., Lee, S., Kanbe, S.: Power assist method for HAL-3 using EMG-based feedback controller. In: IEEE International Conference on Systems, Man and Cybernetics, Piscataway, USA, pp. 1648–1653 (2003)

    Google Scholar 

  14. Lee, S., Sankai, Y.: Power assist control for walking aid with HAL-3 based on EMG and impedance adjustment around knee joint. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, Piscataway, USA, pp. 1499–1504 (2002)

    Google Scholar 

  15. Liu, H., Wang, T., Fan, W.: Self anti-interference control of pneumatic muscle joint. Robot 33(4), 461–466 (2011)

    Article  Google Scholar 

  16. Long, Y., Du, Z., Wang, W.: Control and experiment for exoskeleton robot based on kalman prediction of Human motion Intent. Robot 37(3), 304–309 (2015)

    Google Scholar 

  17. Chen, C., Jiang, L., Wang, H.: Gait prediction method of lower extremity exoskeleton based on SAE and LSTM neural network. Comput. Eng. Appl. 55(12), 110–116 (2019)

    Google Scholar 

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Acknowledgments

This work was support by grants from the Ministry of Science and Technology’s national key R&D program (grant Number: 2017YFB1300500).

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Song, D., Qiang, L., Liu, Y., Li, Y., Li, L. (2021). Compliance Control Method of Exoskeleton Robot Assisted by Lower Limb Knee Joint Based on Gait Recognition. In: Liu, XJ., Nie, Z., Yu, J., Xie, F., Song, R. (eds) Intelligent Robotics and Applications. ICIRA 2021. Lecture Notes in Computer Science(), vol 13013. Springer, Cham. https://doi.org/10.1007/978-3-030-89095-7_72

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  • DOI: https://doi.org/10.1007/978-3-030-89095-7_72

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-89094-0

  • Online ISBN: 978-3-030-89095-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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