A Comparative Study of Force Observers For Accurate Force Control of Multisensor-Based Force Controlled Motion Systems

Kangwagye Samuel, Sehoon Oh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a comprehensive comparative study of the multisensor-based force observers for accurate force control. A force controlled system which contains a force sensor for measuring force transmitted to the load by the motor and an encoder for measuring motor position is considered as the general multisensor-based motion system in this study. Even though these multisensor-based motion systems are emerging as potential motion systems as the demands for collaborative robots increase, there has been few studies that investigate their advantages and limitations. to address this issue, three types of observer-based force controllers that utilize the multisensors are designed and implemented. These controllers exploit the availability of force sensor, motor encoder, and motor torque information from the multisensor-based motion system to estimate accurate force which is later utilized to close the feedback loop. Mathematical and quantitative analyses are conducted to compare performances of the proposed observer-based force control and through this, their advantages and limitations are pointed out. Finally, simulation and an experimental case study with an actual robot are conducted to validate the force tracking performance of the designed force control systems.

Original languageEnglish
Title of host publicationIEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages11223-11230
Number of pages8
ISBN (Electronic)9781665479271
DOIs
StatePublished - 2022
Event2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022 - Kyoto, Japan
Duration: 23 Oct 202227 Oct 2022

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
Volume2022-October
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022
Country/TerritoryJapan
CityKyoto
Period23/10/2227/10/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

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