Robust Control Strategy for AUV with Workspace Observer

Akihiro Kawamura, Toshiaki Okano, Toshiyuki Murakami

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Technologies for machine automation are strongly demanded in some developed countries due to achieve various tasks which could not be treated by human. Autonomous Underwater Vehicles (AUVs) are currently being utilized for scientific, commercial and military applications. These vehicles require autonomous guidance and control systems in order to perform underwater tasks. Modeling, system identification and control strategy of these vehicles are still major areas of research and development. Various disturbance effects perturb a vehicle in underwater, but it is not really discussed by conventional control strategy. And thus this paper proposes a new control strategy which is still effective under the circumstances when the disturbance exists. Simulations were conducted for supporting the argument.

本文言語English
ホスト出版物のタイトルProceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ412-417
ページ数6
ISBN(電子版)9781538648292
DOI
出版ステータスPublished - 2018 9月 24
イベント16th IEEE International Conference on Industrial Informatics, INDIN 2018 - Porto, Portugal
継続期間: 2018 7月 182018 7月 20

Other

Other16th IEEE International Conference on Industrial Informatics, INDIN 2018
国/地域Portugal
CityPorto
Period18/7/1818/7/20

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ
  • 情報システムおよび情報管理
  • 産業および生産工学

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