Acoustics-Based Autonomous Docking for A Deep-Sea Resident ROV | |
Zhang YX(张运修)1,4,5,6; Zhang QF(张奇峰)4,5,6; Zhang AQ(张艾群)4,5,6; Chen, Jun3; Li, Xinguo2; He Z(何震)4,5,6 | |
刊名 | China Ocean Engineering |
2022 | |
卷号 | 36期号:1页码:100-111 |
关键词 | resident ROV docking station autonomous docking acoustic guidance adaptive integrated navigation |
ISSN号 | 0890-5487 |
产权排序 | 1 |
英文摘要 | This paper presents autonomous docking of an inhouse built resident Remotely Operated Vehicle (ROV), called Rover ROV, through acoustic guided techniques. A novel cage-type docking station has been developed. The docking station can be placed on a deep-sea lander, taking the Rover ROV to the seafloor. Instead of using vision-based pose estimation techniques and expensive navigation sensors, the Rover ROV docking adopts an ultra-short baseline (USBL) and low-cost inertial sensors to build an adaptive fault-tolerant integrated navigation system. To solve the problem of sonar-based failure positioning, the measurement residuals are exploited to detect measurement faults. Then, an adaptation scheme for estimating the statistical characteristics of noise in real-time is proposed, which can provide robust and smooth positioning results. It is more suitable for a compact and low-cost deep-sea resident ROV. Field experiments have been conducted successfully in the Qiandao Lake and the South China Sea area with a depth of 3000 m, respectively. The experimental results show that the functionality of autonomous docking has been achieved. Under the guidance of the navigation system, the Rover ROV can autonomously and efficiently return to the docking station within a range of 100 m even when the amounts of outliers exist in the acoustic positioning data. These achievements can be applied to current ROVs by an easy retrofit. |
资助项目 | National Key R&D Program of China[2017YFC0306402] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA22040102] |
WOS关键词 | NAVIGATION SYSTEM ; KALMAN FILTER |
WOS研究方向 | Engineering ; Water Resources |
语种 | 英语 |
WOS记录号 | WOS:000768824100009 |
资助机构 | National Key R&D Program of China (Grant No. 2017YFC0306402) ; Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA22040102). |
内容类型 | 期刊论文 |
源URL | [http://ir.sia.cn/handle/173321/30608] |
专题 | 沈阳自动化研究所_水下机器人研究室 |
通讯作者 | Zhang QF(张奇峰) |
作者单位 | 1.University of Chinese Academy of Sciences, Beijing 100049, China 2.Institutes of Acoustics, Chinese Academy of Science, Beijing 100190, China 3.Institutes of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya 100049, China 4.Key Laboratory of Marine Robotics, Liaoning Province, Shenyang 110169, China 5.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 6.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China |
推荐引用方式 GB/T 7714 | Zhang YX,Zhang QF,Zhang AQ,et al. Acoustics-Based Autonomous Docking for A Deep-Sea Resident ROV[J]. China Ocean Engineering,2022,36(1):100-111. |
APA | Zhang YX,Zhang QF,Zhang AQ,Chen, Jun,Li, Xinguo,&He Z.(2022).Acoustics-Based Autonomous Docking for A Deep-Sea Resident ROV.China Ocean Engineering,36(1),100-111. |
MLA | Zhang YX,et al."Acoustics-Based Autonomous Docking for A Deep-Sea Resident ROV".China Ocean Engineering 36.1(2022):100-111. |
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