Sensorless Based Gravity Torque Estimation and Friction Compensation for Surgical Robotic System
dc.contributor.author | Pillai B.M. | |
dc.contributor.author | Sivaraman D. | |
dc.contributor.author | Ongwattanakul S. | |
dc.contributor.author | Suthakorn J. | |
dc.contributor.other | Mahidol University | |
dc.date.accessioned | 2023-06-18T17:09:32Z | |
dc.date.available | 2023-06-18T17:09:32Z | |
dc.date.issued | 2022-01-01 | |
dc.description.abstract | This 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.citation | Proceedings - 2022 9th IEEE International Conference on e-Learning in Industrial Electronics, ICELIE 2022 (2022) | |
dc.identifier.doi | 10.1109/ICELIE55228.2022.9969429 | |
dc.identifier.scopus | 2-s2.0-85145434109 | |
dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/20.500.14594/84568 | |
dc.rights.holder | SCOPUS | |
dc.subject | Energy | |
dc.title | Sensorless Based Gravity Torque Estimation and Friction Compensation for Surgical Robotic System | |
dc.type | Conference Paper | |
mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85145434109&origin=inward | |
oaire.citation.title | Proceedings - 2022 9th IEEE International Conference on e-Learning in Industrial Electronics, ICELIE 2022 | |
oairecerif.author.affiliation | Mahidol University |