中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Neural Adaptive Command Filtered Control for Cooperative Path Following of Multiple Underactuated Autonomous Underwater Vehicles Along One Path

文献类型:期刊论文

作者Wang, Hao4; Tian Y(田宇)2,3; Xu HL(徐红丽)1,4
刊名IEEE Transactions on Systems, Man, and Cybernetics: Systems
出版日期2021
页码1-13
关键词Autonomous underwater vehicles (AUVs) cooperative path following neural networks (NNs) uncertainties
ISSN号2168-2216
产权排序2
英文摘要

The aim of this article is to develop a new cooperative path following control scheme for a team of autonomous underwater vehicles (AUVs) which track one curve with nonlinear uncertainties. Individual path-following controllers are designed to guarantee that each AUV meets the desired tracking performance. For the cooperative path following, a containment control approach is incorporated into the design, where each AUV is forced to evenly disperse on a path that is parameterized by a continuous variable over a communication network. The main features of the paper that unlike the existing designs are that: first, by employing the command filtered control technique, the assumption of second-order derivative of the reference path is removed. Second, a globally uniformly ultimately bounded (GUUB) path following control structure is proposed that enables two kinds of controllers to switch under different cases. Third, coordination between multiple AUVs is achieved through a containment design, and a path variable containment cooperative path following controller is derived that enables multiple AUVs to be evenly dispersed and guided by the virtual leaders. Finally, the stability analysis and simulation example are given to verify the proposed control strategy.

WOS关键词DYNAMIC SURFACE CONTROL ; UNCERTAIN NONLINEAR-SYSTEMS ; CONTAINMENT CONTROL ; TRACKING CONTROL ; MULTIAGENT SYSTEMS ; VESSELS
资助项目National Natural Science Foundation of China[51809256] ; National Natural Science Foundation of China[U1709202] ; National Key Research and Development Program of China[2016YFC0300801] ; National Key Research and Development Program of China[2019YFC1408502] ; Youth Innovation Promotion Association CAS[E0290702] ; Liaoning Provincial Natural Science Foundation of China[2020-MS-031] ; Fundamental Research Funds for the Central Universities
WOS研究方向Automation & Control Systems ; Computer Science
语种英语
WOS记录号WOS:000733531100001
资助机构National Natural Science Foundation of China under Grant 51809256 and Grant U1709202 ; National Key Research and Development Program of China under Grant 2016YFC0300801 and Grant 2019YFC1408502 ; Youth Innovation Promotion Association CAS under Grant E0290702 ; Liaoning Provincial Natural Science Foundation of China under Grant 2020-MS-031
源URL[http://ir.sia.cn/handle/173321/28633]  
专题海洋机器人卓越创新中心
通讯作者Tian Y(田宇)
作者单位1.Research Center for Robotics, Peng Cheng Laboratory, Shenzhen 518055, China.
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
3.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
4.Faculty of Robot Science and Engineering, Northeastern University, Shenyang 110819, China
推荐引用方式
GB/T 7714
Wang, Hao,Tian Y,Xu HL. Neural Adaptive Command Filtered Control for Cooperative Path Following of Multiple Underactuated Autonomous Underwater Vehicles Along One Path[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems,2021:1-13.
APA Wang, Hao,Tian Y,&Xu HL.(2021).Neural Adaptive Command Filtered Control for Cooperative Path Following of Multiple Underactuated Autonomous Underwater Vehicles Along One Path.IEEE Transactions on Systems, Man, and Cybernetics: Systems,1-13.
MLA Wang, Hao,et al."Neural Adaptive Command Filtered Control for Cooperative Path Following of Multiple Underactuated Autonomous Underwater Vehicles Along One Path".IEEE Transactions on Systems, Man, and Cybernetics: Systems (2021):1-13.

入库方式: OAI收割

来源:沈阳自动化研究所

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