Sensorless Based Gravity Torque Estimation and Friction Compensation for Surgical Robotic System

dc.contributor.authorPillai B.M.
dc.contributor.authorSivaraman D.
dc.contributor.authorOngwattanakul S.
dc.contributor.authorSuthakorn J.
dc.contributor.otherMahidol University
dc.date.accessioned2023-06-18T17:09:32Z
dc.date.available2023-06-18T17:09:32Z
dc.date.issued2022-01-01
dc.description.abstractThis article intends to provide content that is both basic and elementary, but at the same time discusses how solving difficult challenges when estimating the actual force in real-time teleoperation using a small-size DC motor as the end effector/ gripper of the surgical robot. The end-effector of the surgical robot, where the surgical tools have been attached, requires high-end precision. Most commercial surgical robotic systems calculate the real-time force by using traditional force sensors which encounters hindrance like lack of expected response (advance control), limited bandwidth, and requirement of force for its own operation. The paper introduces a Disturbance observer (DOB) based Reaction Torque observer (RTOB) as the sensor for the real-time gravity torque sensing in biomedical applications, with a focus on surgical robots. In order to enable both professional engineers and students with a limited understanding of control to use the article, mathematical complications are kept to a minimum.
dc.identifier.citationProceedings - 2022 9th IEEE International Conference on e-Learning in Industrial Electronics, ICELIE 2022 (2022)
dc.identifier.doi10.1109/ICELIE55228.2022.9969429
dc.identifier.scopus2-s2.0-85145434109
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/84568
dc.rights.holderSCOPUS
dc.subjectEnergy
dc.titleSensorless Based Gravity Torque Estimation and Friction Compensation for Surgical Robotic System
dc.typeConference Paper
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85145434109&origin=inward
oaire.citation.titleProceedings - 2022 9th IEEE International Conference on e-Learning in Industrial Electronics, ICELIE 2022
oairecerif.author.affiliationMahidol University

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