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dc.contributor.authorHoward, Ian
dc.contributor.authorStoelen, MF
dc.date.accessioned2022-02-08T13:55:52Z
dc.date.available2022-02-08T13:55:52Z
dc.date.issued2021
dc.identifier.isbn9783030891763
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/10026.1/18703
dc.description.abstract

Here we investigate variable-stiffness tendon drive for a robot arm. The novel aspect of our design is that it makes use of non-back-drivable worm-gear motor actuation, so static arm configurations can be maintained at a desired stiffness level without requiring motor power. We first analyze a link that is driven via uni-directional agonistic-antagonistic non-linear elastic tendons and construct the state space model of the system. We then design an observer-based state feedback controller. This ensures the output link can track a reference input vector consisting of a desired joint angle as well as tendon extension realized by tendon co-contraction. We simulated the controller and plant in MATLAB and show examples of typical movement trajectories for angular control of the link.

dc.format.extent294-303
dc.language.isoen
dc.publisherSpringer International Publishing
dc.titleState Space Analysis of Variable-Stiffness Tendon Drive with Non-back-Drivable Worm-Gear Motor Actuation
dc.typeconference
dc.typeConference Proceeding
plymouth.volume13054 LNAI
plymouth.publisher-urlhttps://link.springer.com/chapter/10.1007/978-3-030-89177-0_30
plymouth.conference-nameAnnual Conference Towards Autonomous Robotic Systems
plymouth.publication-statusPublished
plymouth.journalTAROS 2021: Towards Autonomous Robotic Systems
dc.identifier.doi10.1007/978-3-030-89177-0_30
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2021-07-01
dc.rights.embargodate2022-10-31
dc.identifier.eissn1611-3349
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1007/978-3-030-89177-0_30
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2021
rioxxterms.typeConference Paper/Proceeding/Abstract


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