Recent advances in vibration control of offshore platforms

Offshore platforms are widely used to explore, drill, produce, storage, and transport ocean resources and are usually subject to environmental loading, such as waves, winds, ice, and currents, which may lead to failure of deck facilities, fatigue failure of platforms, inefficiency of operation, and...

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Bibliographic Details
Published inNonlinear dynamics Vol. 89; no. 2; pp. 755 - 771
Main Authors Zhang, Bao-Lin, Han, Qing-Long, Zhang, Xian-Ming
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.07.2017
Springer Nature B.V
Subjects
Active control
Automotive Engineering
Classical Mechanics
Control
Control charts
Control systems
Crack propagation
Crews
Discomfort
Dynamical Systems
Engineering
Exploratory drilling
Fatigue failure
Feedback control
Marine resources
Mechanical Engineering
Motion control
Offshore
Offshore drilling rigs
Offshore platforms
Optimal control
Passive control
Production planning
Reliability
Review
Robust control
Simulation
Vibration
Vibration control
Sampled-data control
Sliding model control
Vibration control
Network-based control
Passive control
Active control
Offshore platforms
Delayed feedback control
Semi-active control
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Summary:Offshore platforms are widely used to explore, drill, produce, storage, and transport ocean resources and are usually subject to environmental loading, such as waves, winds, ice, and currents, which may lead to failure of deck facilities, fatigue failure of platforms, inefficiency of operation, and even discomfort of crews. In order to ensure reliability and safety of offshore platforms, it is of great significance to explore a proper way of suppressing vibration of offshore platforms. There are mainly three types of control schemes, i.e., passive control schemes, semi-active control schemes, and active control schemes, to deal with vibration of offshore platforms. This paper provides an overview of these schemes. Firstly, passive control schemes and several semi-active control schemes are briefly summarized. Secondly, some classical active control approaches, such as optimal control, robust control, and intelligent control, are briefly reviewed. Thirdly, recent advances of active control schemes with delayed feedback control, sliding model control, sampled-data control, and network-based control are deeply analyzed. Finally, some challenging issues are provided to guide future research directions.
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ISSN:0924-090X
1573-269X
DOI:10.1007/s11071-017-3503-4