| Title: | OS7-4 Development of Self-Diagnosis System of an Autonomous Underwater Vehicle Tuna-Sand 2 |
|---|---|
| Publication: | ICAROB2017 |
| Volume: | 22 |
| Pages: | 254-257 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2017.OS7-4 |
| Author(s): | Takashi Sonoda, Naoya Fujii, Yuya Nishida, Kazuo Ishii |
| Publication Date: | January 19, 2017 |
| Keywords: | AUV, Self-Diagnosis System |
| Abstract: | For autonomous underwater vehicle (AUV), high autonomy is required in order to accomplish mission such as inspection, observation, manipulation under extreme environments, deep-ocean. One of necessary function for AUV is the self-diagnosis system to detect the abnormality can be said to be an important feature. In this paper, we propose a self-diagnostic system using the dynamical model of Sampling-AUV "TUNASAND2", where the fault device detection is carried out using the model, and evaluated through tank tests. |
| PDF File: | https://alife-robotics.co.jp/members2017/icarob/data/html/data/OS_pdf/OS7/OS7-4.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
(c)2008 Copyright The Regents of ALife Robotics Corporation Ltd. All Rights Reserved.