中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
ROS-Based Depth Control for Hybrid-Driven Underwater Vehicle-Manipulator System

文献类型:会议论文

作者Mingxue Cai; Yu Wang; Shuo Wang; Rui Wang; Min Tan; Wang, Rui; Tan, Min; Wang, Yu; Cai, Mingxue; Wang, Shuo
出版日期2019
会议日期27-30 July 2019
会议地点Guangzhou, China
关键词Depth Control Adaptive Smc Underwater Vehicle-manipulator System Ros
DOI10.23919/ChiCC.2019.8865762
英文摘要

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.

语种英语
URL标识查看原文
源URL[http://ir.ia.ac.cn/handle/173211/38548]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队
通讯作者Yu Wang; Wang, Yu
作者单位Institute of Automation, Chinese Academy of Sciences1, 2,3,4,5
推荐引用方式
GB/T 7714
Mingxue Cai,Yu Wang,Shuo Wang,et al. ROS-Based Depth Control for Hybrid-Driven Underwater Vehicle-Manipulator System[C]. 见:. Guangzhou, China. 27-30 July 2019.

入库方式: OAI收割

来源:自动化研究所

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