航向(导航)
弹道
跟踪(教育)
控制工程
控制理论(社会学)
智能控制
推进
控制(管理)
职位(财务)
计算机科学
工程类
任务(项目管理)
人工神经网络
人工智能
航空航天工程
系统工程
物理
经济
教育学
心理学
财务
天文
作者
Mage Reena Varghese,X. Anitha Mary
出处
期刊:Lecture notes in networks and systems
日期:2022-01-01
卷期号:: 289-300
标识
DOI:10.1007/978-981-19-2894-9_22
摘要
AbstractUnderwater vehicle (UV) is a considerable technology for the renewable use of ocean resources. As we know, the ocean environment is harsh and complex and is affected by various force and moments. Hence, it is a tough task to attain an UV stable in the pre-planned static position and heading angle. Trajectory tracking control is a main research area for the above said problem. In this paper, various control strategies used in UVs for tracking control such as classical, robust, and intelligent controllers are reviewed. Intelligent controllers with novel controlling techniques give extreme good results under complex environmental uncertainties such as waves, ocean currents, and propulsion.KeywordsPID controlSliding mode controlAdaptive controlFuzzy controlArtificial neural networkLinear quadratic gaussianH infinityintelligent controllers
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