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ROS-Based Depth Control for Hybrid-Driven Underwater Vehicle-Manipulator System
Cai, Mingxue; Wang, Yu; Wang, Shuo; Wang, Rui; Tan, Min
2019
会议名称2019 Chinese Control Conference (CCC)
会议日期27-30 July 2019
会议地点Guangzhou, China
摘要

This paper presents an algorithmic solution for depth control. Depth control for Underwater Vehicle-Manipulator System (UVMS) is essential to complete a specific underwater manipulation. A large number of algorithms have been designed to tackle the depth control problem. However, because of water currents, algorithm for depth control is required strong robustness. This work describes an adaptive sliding mode control (SMC) method to implement the depth control. The designed SMC method combining the proposed adaptive algorithm can alleviate influence of uncertain parameters of system and external disturbances. The stability is proven by a Lyapunov function. Then, we build a ROS-based underwater simulation environment-UWSim. Real-time depth and velocity of UVMS can be obtained by depth gauge and IMU via ROS nodes. Finally, we conduct a depth control simulation with our proposed hybrid-driven underwater vehicle-manipulator system (HD-UVMS). A comparative simulation is also implemented to verify the effectiveness of the proposed method.

关键词Depth Control Adaptive Smc Underwater Vehicle-manipulator System Ros
学科门类控制科学与工程
DOI10.23919/ChiCC.2019.8865762
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收录类别EI
语种英语
七大方向——子方向分类智能控制
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被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/38548
专题复杂系统认知与决策实验室_先进机器人
通讯作者Wang, Yu
作者单位Institute of Automation, Chinese Academy of Sciences1, 2,3,4,5
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
推荐引用方式
GB/T 7714
Cai, Mingxue,Wang, Yu,Wang, Shuo,et al. ROS-Based Depth Control for Hybrid-Driven Underwater Vehicle-Manipulator System[C],2019.
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