Guidance and control methodologies for marine vehicles: A survey

Offshore mechatronics systems engineering has recently received high attentions in various sectors such as energy, transportation, etc. Specifically, offshore robotic vehicles have become challenging topics in terms of design, guidance, control and maintenance aspects. Based on these reasons, in thi...

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Veröffentlicht in:Control engineering practice Jg. 111; S. 104785
Hauptverfasser: Karimi, Hamid Reza, Lu, Yanyang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.06.2021
Schlagworte:
Disturbances
Guidance and control
Marine robotic vehicles
Offshore mechatronics systems
Uncertainties
Marine robotic vehicles
Guidance and control
Uncertainties
Disturbances
Offshore mechatronics systems
ISSN:0967-0661, 1873-6939
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Zusammenfassung:Offshore mechatronics systems engineering has recently received high attentions in various sectors such as energy, transportation, etc. Specifically, offshore robotic vehicles have become challenging topics in terms of design, guidance, control and maintenance aspects. Based on these reasons, in this article, some recent developments on the guidance and control methodologies for marine robotic vehicles are surveyed. The application-oriented methodologies under consideration mainly include fuzzy-based control design approach, neural network-based control design scheme, dynamic surface control strategy, feedback control technique as well as sliding model control method, for instance. With the help of these methodologies, the developments on various guidance and robust control issues are reviewed in great detail. In practical engineering, guidance and control design problems are mainly addressed for the maneuvering, path following, trajectory tracking, formation control and consensus. In particular, the state of art of the solution to guidance and control issues for marine robotic vehicles under different control methodologies is addressed respectively. Finally, some latest research results in filtering and control design developments are introduced, some conclusions are drawn and several possible future research directions based on the latest results are pointed out.
ISSN:0967-0661
1873-6939
DOI:10.1016/j.conengprac.2021.104785