欠驱动
弹道
背景(考古学)
计算机科学
控制工程
可靠性(半导体)
跟踪(教育)
水下
控制(管理)
控制理论(社会学)
工程类
功率(物理)
人工智能
天文
教育学
古生物学
地质学
物理
海洋学
心理学
生物
量子力学
作者
Meng Joo Er,Huibin Gong,Yi Liu,Tianhe Liu
出处
期刊:IEEE transactions on systems, man, and cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2024-01-01
卷期号:54 (1): 543-555
标识
DOI:10.1109/tsmc.2023.3312268
摘要
AUV play an important role in the exploration and utilization of the ocean. Underactuated autonomous underwater vehicles (AUVs) are widely used in these missions due to the associated low manufacturing costs, low power consumption, and high reliability. Among many control problems of underactuated AUVs, the research of trajectory tracking and formation control methods has become a hot topic in recent years. In order to obtain superior control performance, research on trajectory tracking and formation control of underactuated AUVs based on intelligent control methods should be further advanced and deepened. In this context, we present a survey of intelligent trajectory tracking and formation control of underactuated AUVs, which is beneficial to researchers in this field. To facilitate a comprehensive understanding of the subject matter, we review some preliminary knowledge in trajectory tracking and formation control of underactuated AUVs. We also highlight research problems and challenges, including external disturbances, system characteristics, and system faults. We review recent advances in intelligent trajectory tracking and formation control of underactuated AUVs and analyze and discuss their characteristics. Moreover, we put forward some prospects of advanced control techniques, especially artificial intelligence-based techniques for underactuated AUVs.
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