Data-driven Locomotive Strategies of the UVMS Propelled by Undulating Fins
Ma, Ruichen1,2; Du, Huajun3,4; Wang, Rui1; Wang, Yu1; Wang, Shuo1,2,5; Tang, Chong1
2019-06
会议名称Twenty-ninth (2019) International Ocean and Polar Engineering Conference
会议日期June 16-21, 2019
会议地点Honolulu, Hawaii, USA
摘要

This paper addresses a data-driven locomotive strategy of an under-water vehicle-manipulator system (UVMS). Two modular designed biomimetic underwater propellers are deployed on the UVMS. Each propeller has a ribbon fin that consists of twelve rays linked by a thin latex membrane. Each ray is individually actuated. By distributing all rays in phases of undulating patterns, different form of waves can be generated from the propeller. A measurement platform is constructed to obtain the horizontal and vertical force generated by the waves of the undulating fin. The current in main circuit of the propeller is also measured. The measured data are calculated into five output results. Three types of waves are performed on the platform, including sinusoidal waves, fusiform sinusoidal waves and inward counter-propagating sinusoidal waves. Output results are varied by parameters of undulating patterns. By diversifying parameters of undulating patterns, multiple waves are carried out and their output results are obtained. With these data, a locomotive strategy for the UVMS is established. The strategy is to select the output results of the two propellers by optimization methods to meet the requirements of the UVMS on standards of driving force, stability and power consumption. With this strategy, two biomimetic propellers can perform suitable undulating patterns when the UVMS is required to implement certain locomotions.

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收录类别EI
七大方向——子方向分类智能机器人
国重实验室规划方向分类水下仿生机器人
是否有论文关联数据集需要存交
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/52356
专题多模态人工智能系统全国重点实验室_智能机器人系统研究
通讯作者Wang, Yu
作者单位1.Institute of Automation, Chinese Academy of Sciences
2.University of Chinese Academy of Sciences
3.Beijing Aerospace Automatic Control Institute
4.National Key Laboratory of Science and Technology on Aerospace Intelligent Control
5.CAS Center for Excellence in Brain Science and Intelligence Technology
第一作者单位中国科学院自动化研究所
通讯作者单位中国科学院自动化研究所
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GB/T 7714
Ma, Ruichen,Du, Huajun,Wang, Rui,et al. Data-driven Locomotive Strategies of the UVMS Propelled by Undulating Fins[C],2019.
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