中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Moth-Inspired Plume Tracing via Autonomous Underwaer Vehcle with only a pair of Separated Chemical Sensors

文献类型:会议论文

作者Tian Y(田宇); Li W(李伟); Zhang FM(张福民)
出版日期2015
会议名称OCEANS 2015 MTS/IEEE
会议日期October 19-22, 2015
会议地点Washington, DC
关键词autonomous underwater vehicle chemical plume tracing odor source localization behavior-based planning bioinspired robot
页码1-8
中文摘要Effective chemical plume tracing strategies are important for autonomous underwater vehicles (AUVs) to perform a variety of missions of searching for underwater targets, such as oil spill sources and deep-sea hydrothermal vents. In such circumstances where fluid flow direction cannot be measured by AUVs or fluid flow direction provides little or wrong information about the distribution of a dynamic chemical plume or its source location, chemical plume tracing strategies that rely on information of fluid flow direction may not work effectively. In this paper, a modified moth-inspired chemical plume tracing strategy is presented, which could trace a turbulent chemical plume without need of information of flow direction. The strategy estimates the direction of plume centerline based on information from a pair of spatially separated chemical sensors symmetrically mounted on an AUV’s nose together with the AUV’s zigzag plume-tracing trajectory, and employs the estimated direction of plume centerline to implement the plume tracing. The proposed strategy is implemented in a computer simulation environment and the simulation results demonstrate that with the strategy an AUV could track a turbulent chemical plume over a long distance and finally localize the plume source.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录OCEANS 2015 MTS/IEEE
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
WOS记录号WOS:000380550000095
源URL[http://ir.sia.cn/handle/173321/17510]  
专题沈阳自动化研究所_水下机器人研究室
推荐引用方式
GB/T 7714
Tian Y,Li W,Zhang FM. Moth-Inspired Plume Tracing via Autonomous Underwaer Vehcle with only a pair of Separated Chemical Sensors[C]. 见:OCEANS 2015 MTS/IEEE. Washington, DC. October 19-22, 2015.

入库方式: OAI收割

来源:沈阳自动化研究所

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