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On stability and performance of disturbance observer-based-dynamic load torque compensator for assistive exoskeleton: A hybrid approach
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electrical Engineering, Mathematics and Science, Electronics. KTH.ORCID iD: 0000-0003-4712-7730
Uppsala University.
KTH.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electrical Engineering, Mathematics and Science, Electronics.
2020 (English)In: Mechatronics (Oxford), ISSN 0957-4158, E-ISSN 1873-4006, Vol. 69, article id 102373Article in journal (Refereed) Published
Abstract [en]

A disturbance observer-based-dynamic load-torque compensator for current-controlled DC-drives, as joint actuator of assistive exoskeletons, has been recently proposed. It has been shown that this compensator can effectively linearize and decouple the coupled nonlinear dynamics of the human-exoskeleton system, by more effectively compensating the associated nonlinear load-torques of the exoskeleton at the joint level. In this paper, a detailed analysis of the current controlled DC drive-servo system using the said compensator, with respect to performance and stability is presented, highlighting the key factors and considerations affecting both the stability and performance of the compensated servo system. It is shown both theoretically and through simulation results that the stability of the compensated servo system is compromised as performance is increased and vice-versa. Based on the saturation state of the servo system, a new hybrid switching control strategy is then proposed to select stability or performance-based compensator and controller optimally. The strategy is then experimentally verified both at the joint and task space level by using the developed four active-degree of freedom exoskeleton test rig.

Place, publisher, year, edition, pages
Elsevier , 2020. Vol. 69, article id 102373
Keywords [en]
Assistive-exoskeleton, Performance, Stability, Disturbance observer, Load-torque
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hig:diva-33337DOI: 10.1016/j.mechatronics.2020.102373ISI: 000571817900010Scopus ID: 2-s2.0-85087201583OAI: oai:DiVA.org:hig-33337DiVA, id: diva2:1458745
Note

This work was supported in part by the Ambient Assistance Living (AL) Program under Grant AAL-2013-6-042

Available from: 2020-08-18 Created: 2020-08-18 Last updated: 2024-05-21Bibliographically approved

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Masud, NaumanIsaksson, Magnus

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