题名 |
DESIGN AND EVALUATION A PORTABLE INTELLIGENT RESCUE SYSTEM FOR UNMANNED UNDERWATER VEHICLES |
并列篇名 |
掛載式智能救援系統於水下載具之設計與估測 |
作者 |
沈聖智(S.-C. Shen);楊依庭(Y.-T. Yang) |
关键词 |
AUVs ; Intelligent Rescue System ; Sensor Fusion ; Backpropagation Network ; 水下載具 ; 智能救援系統 ; 融合感測模組 ; 倒傳遞類神經網 |
期刊名称 |
中國造船暨輪機工程學刊 |
卷期/出版年月 |
37卷3期(2018 / 08 / 01) |
页次 |
117 - 126 |
内容语文 |
英文 |
中文摘要 |
This research is based on the attitude sensing algorithm to design a portable intelligent rescue system for AUVs. To lower the possibility of losing the underwater vehicle and reduce the difficulty of rescuing, when an AUV intelligent rescue system (AIRS) detects that the fault of AUVs and could not be reclaimed, AIRS can pump carbon dioxide into the airbag immediately to make the vehicle resurface. AIRS consists of attitude sensing module, double-trigger inflator mechanism, and activity recognition algorithm. The sensing module is an 11-DOF sensor that makes up of a six-axis inertial sensor, a three-axis magnetometer, a barometer, and a thermometer. Furthermore, the signal calibration and extended Kalman filter (SC-EKF) is proposed to be used subsequently to calibrate and fuse the data from the sensing module. Then, classify the attitude data with the principle of feature extraction (FE), and backpropagation network (BPN) classifier. Finally, the designed double-trigger inflator not only can trigger by electricity but also trigger by water damage when the waterproof cabin is severely broken. With the AIRS technology, the safety of detecting and investigating of using AUVs can be increased since there is no need to send divers to engage in the rescuing mission under the water. |
英文摘要 |
本研究整合姿態感測模組、救援氣囊與可掛載之概念,開發AUV自主式水下載具掛載式智能救援系統,當智能救援系統判定AUV失能、墜落或嚴重碰撞時,掛載於AUV的智能救援系統可立即啟動CO_2充氣機構對尼龍氣囊充氣,能即時對氣囊充氣產生向上浮力,以降低自主式水下載具失誤機率與搜救困難度。其中姿態辨識演算法則是先定義水下姿態之特徵值,並對水下載具的姿態矩陣擷取、降低維度,以提高倒傳遞類神經網路對AUV運動姿態的辨識率。 |
主题分类 |
工程學 >
機械工程 工程學 > 交通運輸工程 |
参考文献 |
|