Sensorless Bilateral Control Using Hall ICs

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sensorless bilateral control has been studied to improve fault-tolerance of teleoperation without using torque sensors, position sensors, and other mechanical sensors. However, sensorless control often has less control accuracy due to model errors, parameter variations, and other unexpected factors. Feedback control with some position sensors is practically required for teleoperation. Therefore, this study aims at sensorless bilateral control using Hall ICs. A proposed bilateral control does not necessarily require disturbance observers unlike a conventional method originally using high-resolution sensors. Owing to this advantage, low-resolution sensors are applicable to the proposed bilateral control. Experiments showed that the proposed method succeeded bilateral control using Hall ICs without mechanical sensors, although the conventional control did not work using the low-resolution sensors. Therefore, the proposed method will be able to enhance fault-tolerance of teleoperation systems.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE International Conference on Mechatronics, ICM 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages243-248
Number of pages6
ISBN (Electronic)9781538669594
DOIs
Publication statusPublished - 2019 May 24
Event2019 IEEE International Conference on Mechatronics, ICM 2019 - Ilmenau, Germany
Duration: 2019 Mar 182019 Mar 20

Publication series

NameProceedings - 2019 IEEE International Conference on Mechatronics, ICM 2019

Conference

Conference2019 IEEE International Conference on Mechatronics, ICM 2019
CountryGermany
CityIlmenau
Period19/3/1819/3/20

Keywords

  • Bilateral control
  • haptics
  • master-slave
  • motion transmission
  • sensorless control
  • teleoperation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Automotive Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Industrial and Manufacturing Engineering

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