Abstract
In this paper a full body assistive exoskeleton is considered. A mathematical model for the case of the frontal plane motion is given. The paper focuses on the question of push recovery, considering two different cases: when the exoskeleton is pushed as a result of an interaction with another moving object and the case when the exoskeleton stands on a platform that rapidly changes its speed. A push recovery algorithm is proposed that allows the exoskeleton to regain vertical balance by taking one step. The algorithm was tested via numerical simulation; the results are shown and analysed in the paper. The results of the simulation demonstrated the similarity of the exoskeleton motion to that of a human.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Miranda-Linares, D., Alrezage, G., Tokhi, M.O.: Control of lower limb exoskeleton for elderly assistance on basic mobility tasks. In: 19th International Conference on System Theory, Control and Computing (ICSTCC), pp. 441–446, October 2015
O’Sullivan, L., Power, V., Virk, G., Masud, N., Haider, U., Christensen, S., Bai, S., Cuypers, L., D’Havé, M., Vonck, K.: End user needs elicitation for a full-boy exoskeleton to assist the elderly. Procedia Manuf. 3, 1403–1409 (2015)
Low, K.H., Liu, X., Goh, C.H., Yu, H.: Locomotive control of a wearable lower exoskeleton for walking enhancement. J. Vib. Control 12(12), 1311–1336 (2006)
Barbareschi, G., Richards, R., Thornton, M., Carlson, T., Holloway, C.: Statically vs. dynamically balanced gait: analysis of a robotic exoskeleton compared with a human. In: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), August 2015, pp. 6728–6731. IEEE (2015)
Anam, K., Adel, A.A.-J.: Active exoskeleton control systems: state of the art. Procedia Eng. 41, 988–994 (2012)
Contreras-Vidal, J.L., Grossman, R.G.: NeuroRex: a clinical neural interface roadmap for EEG-based brain machine interfaces to a lower body robotic exoskeleton. In: 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 2013, pp. 1579–1582. IEEE (2013)
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, pp. 165–172. Springer International Publishing, Switzerland (2016)
Jatsun, S., Savin, S., Yatsun, A., Turlapov, R.: Adaptive control system for exoskeleton performing sit-to-stand motion. In: 10th International Symposium Mechatronics and Its Applications (ISMA), December 2015, pp. 1–6. IEEE (2015)
Jatsun, S.F., Vorochaeva, L., Yatsun, A.S., Savin, S.I.: The modelling of the standing-up process of the anthropomorphic mechanism. In: Proceedings of the International Conference on CLAWAR, pp. 175–182 (2015)
Vukobratović, M., Borovac, B.: Zero-moment point—thirty five years of its life. Int. J. Humanoid Rob. 1(01), 157–173 (2004)
Mitobe, K., Capi, G., Nasu, Y.: Control of walking robots based on manipulation of the zero moment point. Robotica 18(06), 651–657 (2000)
Choi, Y., You, B.J., Oh, S.R.: On the stability of indirect ZMP controller for biped robot systems. In: Proceedings, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2004), June 2004, vol. 2, pp. 1966–1971. IEEE (2004)
Pratt, J., Carff, J., Drakunov, S., Goswami, A.: Capture point: a step toward humanoid push recovery. In: 6th IEEE-RAS International Conference on Humanoid Robots, December 2007, pp. 200–207. IEEE (2007)
Stephens, B.: Humanoid push recovery. In: 7th IEEE-RAS International Conference on Humanoid Robots, November 2007, pp. 589–595. IEEE (2007)
Stephens, B.J., Atkeson, C.G.: Push recovery by stepping for humanoid robots with force controlled joints. In: 10th IEEE-RAS International Conference Humanoid Robots (Humanoids), December 2010, pp. 52–59. IEEE (2010)
Rebula, J., Canas, F., Pratt, J., Goswami, A.: Learning capture points for humanoid push recovery. In: 7th IEEE-RAS International Conference on Humanoid Robots, November 2007, pp. 65–72. IEEE (2007)
Yun, S.K., Goswami, A.: Momentum-based reactive stepping controller on level and non-level ground for humanoid robot push recovery. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2011, pp. 3943–3950. IEEE (2011)
Plagenhoef, S.F., Gaynor, E., Thomas, A.: Anatomical data for analyzing human motion. Res. Q. Exerc. Sport 54(2), 169–178 (1983)
Jatsun, S., Savin, S., Yatsun, A.: Parameter optimization for exoskeleton control system using sobol sequences. In: Proceedings of 21st CISM-IFToMM Symposium on Robot Design (2016) (In publishing)
Acknowledgements
The work is supported by RSF, Project â„– 14-39-00008.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Jatsun, S., Savin, S., Yatsun, A. (2017). Motion Control Algorithm for Exoskeleton Push Recovery in the Frontal Plane. In: Rodić, A., Borangiu, T. (eds) Advances in Robot Design and Intelligent Control. RAAD 2016. Advances in Intelligent Systems and Computing, vol 540. Springer, Cham. https://doi.org/10.1007/978-3-319-49058-8_51
Download citation
DOI: https://doi.org/10.1007/978-3-319-49058-8_51
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-49057-1
Online ISBN: 978-3-319-49058-8
eBook Packages: EngineeringEngineering (R0)