Adaptive formation control for autonomous surface vessels with prescribed-time convergence

This article is dedicated to solving the problem of predefined-time cooperative control for autonomous surface vessels encountering model uncertainties and external perturbations. By virtue of the prescribed-time stable theory, a robust formation controller is constructed, with which the settling ti...

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Main Authors: Ziyang Huang, Jun Li, Bing Huang
Format: Article
Language:English
Published: SAGE Publishing 2022-07-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.1177/17298806221105722
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author Ziyang Huang
Jun Li
Bing Huang
author_facet Ziyang Huang
Jun Li
Bing Huang
author_sort Ziyang Huang
collection DOAJ
description This article is dedicated to solving the problem of predefined-time cooperative control for autonomous surface vessels encountering model uncertainties and external perturbations. By virtue of the prescribed-time stable theory, a robust formation controller is constructed, with which the settling time of the cooperative system can be prescribed in advance. The controller is developed under the backstepping framework, where the dynamic surface control is applied to generate the real-time command. Considering the unmodeled autonomous surface vessel dynamics, the neural network-based nonlinear approximator is incorporated with minimum-learning-parameter technique. Under this scenario, the real-time control can be pursed with one parameter being estimated. Finally, comparative simulation examples are provided to exhibit the effectiveness and advantages of designed control strategies.
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spelling doaj.art-9d6abc66945f4c878104bd652d1ce52e2022-12-22T01:26:09ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142022-07-011910.1177/17298806221105722Adaptive formation control for autonomous surface vessels with prescribed-time convergenceZiyang Huang0Jun Li1Bing Huang2 Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin, China College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin, ChinaThis article is dedicated to solving the problem of predefined-time cooperative control for autonomous surface vessels encountering model uncertainties and external perturbations. By virtue of the prescribed-time stable theory, a robust formation controller is constructed, with which the settling time of the cooperative system can be prescribed in advance. The controller is developed under the backstepping framework, where the dynamic surface control is applied to generate the real-time command. Considering the unmodeled autonomous surface vessel dynamics, the neural network-based nonlinear approximator is incorporated with minimum-learning-parameter technique. Under this scenario, the real-time control can be pursed with one parameter being estimated. Finally, comparative simulation examples are provided to exhibit the effectiveness and advantages of designed control strategies.https://doi.org/10.1177/17298806221105722
spellingShingle Ziyang Huang
Jun Li
Bing Huang
Adaptive formation control for autonomous surface vessels with prescribed-time convergence
International Journal of Advanced Robotic Systems
title Adaptive formation control for autonomous surface vessels with prescribed-time convergence
title_full Adaptive formation control for autonomous surface vessels with prescribed-time convergence
title_fullStr Adaptive formation control for autonomous surface vessels with prescribed-time convergence
title_full_unstemmed Adaptive formation control for autonomous surface vessels with prescribed-time convergence
title_short Adaptive formation control for autonomous surface vessels with prescribed-time convergence
title_sort adaptive formation control for autonomous surface vessels with prescribed time convergence
url https://doi.org/10.1177/17298806221105722
work_keys_str_mv AT ziyanghuang adaptiveformationcontrolforautonomoussurfacevesselswithprescribedtimeconvergence
AT junli adaptiveformationcontrolforautonomoussurfacevesselswithprescribedtimeconvergence
AT binghuang adaptiveformationcontrolforautonomoussurfacevesselswithprescribedtimeconvergence