中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research on thermocline tracking based on multiple autonomous underwater vehicles

文献类型:会议论文

作者Li YP(李一平)1,2; Li Z(李震)1,2
出版日期2018
会议日期September 19-21, 2018
会议地点Tianjin, China
关键词Artificial potential field Multiple autonomous underwater vehicles (AUV) Thermocline tracking Virtual leader
页码122-127
英文摘要Thermocline is of great significance to marine scientific research. Multi-autonomous underwater vehicles (AUV) have great advantages over single autonomous underwater vehicle in ocean observation. This paper describes a control method for multi-agent formation. Based on this method, a strategy of multi-AUV formation for thermocline tracking is proposed. This paper firstly analyzes the stability of the formation control method based on the virtual body and artificial potential method (VBAP), and verifies the feasibility of this control method on the target-tracking problem by tracking a curved surface in space. Where after, in this paper, a thermocline tracking strategy based on vertical temperature gradient is proposed. Then the simulation experiment is designed based on the above control method and temperature data. The experimental results express that the multi-AUV formation can always keep working between the upper and lower boundary of thermocline, and tracks the thermocline effectively. © 2018 Association for Computing Machinery.
产权排序1
会议录Proceedings of 2018 International Conference on Electronics and Electrical Engineering Technology, EEET 2018
会议录出版者ACM
会议录出版地New York
语种英语
ISBN号978-1-4503-6541-3
WOS记录号WOS:000482814400023
源URL[http://ir.sia.cn/handle/173321/24131]  
专题沈阳自动化研究所_水下机器人研究室
通讯作者Li Z(李震)
作者单位1.College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning Province, China
2.State key Laboratory of Robotics, Shenyang Institute of Automation Shenyang, Liaoning Province, China
推荐引用方式
GB/T 7714
Li YP,Li Z. Research on thermocline tracking based on multiple autonomous underwater vehicles[C]. 见:. Tianjin, China. September 19-21, 2018.

入库方式: OAI收割

来源:沈阳自动化研究所

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