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Adaptive Dynamic Model-Based Path Following Controller Design for an Unmanned Surface Vessel

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成果类型:
期刊论文
作者:
Zhu, Man;Wen, Yuanqiao;Tao, Wei;Xiao, Changshi;Sun, Wuqiang
通讯作者:
Tao, W
作者机构:
[Zhu, Man] Wuhan Univ Technol, Sanya Sci & Educ Innovat Pk Wuhan Univ Technol, Sanya 572000, Hainan, Peoples R China.
[Wen, Yuanqiao; Zhu, Man] Wuhan Univ Technol, Intelligent Transportat Syst Res Ctr, State Key Lab Maritime Technol & Safety, Wuhan 430063, Hubei, Peoples R China.
[Zhu, Man] Wuhan Univ Technol, Natl Engn Res Ctr Water Transport Safety, Wuhan 430063, Hubei, Peoples R China.
[Zhu, Man] Wuhan Univ Technol, Intelligent Transportat Syst Res Ctr, Wuhan 430063, Hubei, Peoples R China.
[Tao, Wei; Tao, W] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan 430023, Hubei, Peoples R China.
通讯机构:
[Tao, W ] W
Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan 430023, Hubei, Peoples R China.
Wuhan Univ Technol, State Key Lab Maritime Technol & Safety, Wuhan 430063, Hubei, Peoples R China.
语种:
英文
期刊:
Journal of Dynamic Systems Measurement and Control-Transactions of the ASME
ISSN:
0022-0434
年:
2025
卷:
147
期:
1
页码:
011004
基金类别:
National Key Research and Development Program of China [2021YFC3101800]; National Science Foundation of China (NSFC) [U2141234]; Natural Science Foundation of Hainan Province of China [624MS079]
机构署名:
本校为通讯机构
院系归属:
数学与计算机学院
摘要:
The effective design of a path-following controller for unmanned surface vessels (USVs) under uncertain influences induced by various factors such as environmental disturbances is a challenging task. In this study, we propose to fulfill this task through taking benefits from an online parameter identification technique, the discrete-time sliding mode control (DSMC) method, and the improved line of sight (LOS) algorithm. The Particle Swarm Optimization algorithm (PSO) was adopted to provide initial settings for the straightforward online identification method, i.e., the Forgetting Factor Recurs...

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