Please use this identifier to cite or link to this item: https://doi.org/10.48548/pubdata-1439
Resource typeJournal Article
Title(s)Robust and Optimal Control Designed for Autonomous Surface Vessel Prototypes
DOI10.48548/pubdata-1439
Handle20.500.14123/1508
CreatorDos Santos, Murillo Ferreira  0000-0002-6568-1121
Dos Santos Neto, Accacio Ferreira  0000-0003-1942-4412
de Mello Honório, Leonardo  0000-0003-2735-4792
da Silva, Mathaus Ferreira  0000-0002-6457-1772
Mercorelli, Paolo  0000-0003-3288-5280
AbstractIt is well known that activities in running water or wind and waves expose the Autonomous Surface Vessels (ASVs) to considerable challenges. Under these conditions, it is essential to develop a robust control system that can meet the requirements and ensure the safe and accurate execution of missions. In this context, this paper presents a new topology for controller design based on a combination of the Successive Loop Closure (SLC) method and optimal control. This topology enables the design of robust autopilots based on the Proportional-Integral-Derivative (PID) controller. The controllers are tuned from the solution of the optimal control problem, which aims to minimize the effects of model uncertainties. To verify the effectiveness of the proposed controller, a numerical case study of a natural ASV with 3 Degree of Freedom (DoF) is investigated. The results show that the methodology enabled the tuning of a PID controller capable of dealing with different parametric uncertainties, demonstrating robustness and applicability for different prototype scenarios.
LanguageEnglish
KeywordsAutonomous Surface Vehicle; PID Controller; Robust Control Design; Successive Loop Closure
Year of publication in PubData2024
Publishing typeParallel publication
Publication versionPublished version
Date issued2023-01-25
Creation contextResearch
NotesThis publication was funded by the German Research Foundation (DFG).
Published byMedien- und Informationszentrum, Leuphana Universität Lüneburg
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FieldValue
Resource typeJournal
Title of the resource typeIEEE Access
IdentifierDOI: 10.1109/ACCESS.2023.3239591
Publication year2023
Volume11
Pages9597 - 9612
PublisherIEEE
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