Multi-layer Observers Design for Force Control with Robot Finger Pad by Using Element Description Method

Kosuke Egawa, Seiichiro Katsura

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In order to adapt robot hand to daily movements, it is necessary to control the finger pad force. There is an affinity between the elastic joint, which is the mechanism that can press the finger pad, and the two-mass resonance system (TMRS) that can estimate the force at the tip. However there are some elements in the elastic joint that cannot be modeled by TMRS. The elements are include an error caused by the use of a nonlinear spring called rubber in this mechanism, and an error caused by friction generated in this mechanism, which was not generated in the conventional TMRS. Therefore, in this paper, we propose to model those elements by element description method. In order to verify the effectiveness of this method, we verified the accuracy of the value estimated by TMRS in some postures.

本文言語English
ホスト出版物のタイトルIECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society
出版社IEEE Computer Society
ISBN(電子版)9781665480253
DOI
出版ステータスPublished - 2022
イベント48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 - Brussels, Belgium
継続期間: 2022 10月 172022 10月 20

出版物シリーズ

名前IECON Proceedings (Industrial Electronics Conference)
2022-October
ISSN(印刷版)2162-4704
ISSN(電子版)2577-1647

Conference

Conference48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022
国/地域Belgium
CityBrussels
Period22/10/1722/10/20

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 電子工学および電気工学

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