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Hybrid Adaptive Robust Control Based on CPG and ZMP for a Lower Limb Exoskeleton

Published online by Cambridge University Press:  02 June 2020

Majid Mokhtari ,
Mostafa Taghizadeh Open the ORCID record for Mostafa Taghizadeh [Opens in a new window]  and
Mahmood Mazare
Majid Mokhtari
Affiliation:
School of Mechanical and Energy Engineering, Shahid Beheshti University, Tehran, Iran
Mostafa Taghizadeh*
Affiliation:
School of Mechanical and Energy Engineering, Shahid Beheshti University, Tehran, Iran
Mahmood Mazare
Affiliation:
School of Mechanical and Energy Engineering, Shahid Beheshti University, Tehran, Iran
*
*Corresponding author. E-mail: mo_taghizadeh@sbu.ac.ir
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Summary

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In this paper, hybrid control of central pattern generators (CPGs), along with an adaptive supper-twisting sliding mode (ASTSM) control based on supper-twisting state observer, is proposed to guard against disturbances and uncertainties. Rhythmic and coordinated signals are generated using CPGs. In addition, to overcome the chattering of conventional sliding mode, supper-twisting sliding mode has been applied. The ASTSM method triggers sliding variables, and its derivatives tend to zero continuously in the presence of the uncertainties. Moreover, to acquire maximum stability, the desired trajectory of the upper limb based on zero moment point criterion is designed.

Keywords

ExoskeletonAdaptive CPGAdaptive super-twisting sliding mode controllerSuper-twisting observer algorithmZMP
Type
Articles
Information
Robotica , Volume 39 , Issue 2 , February 2021 , pp. 181 - 199
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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