Synchronization Control of Dynamic Positioning Ships Using Model Predictive Control

Underway replenishment is essential for ships performing long-term missions at sea, which can be formulated into the problem of leader-tracking configuration. Not only the position and orientation but also the velocities are required to be controlled for ensuring the synchronization; additionally, t...

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Autores principales:	Cheng Liu, Ting Sun, Qizhi Hu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	dynamic positioning (DP) synchronization model predictive control (MPC) neurodynamic optimization Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581
Acceso en línea:	https://doaj.org/article/b1b96986bf964cdaae64b3ac075b825b
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spelling	oai:doaj.org-article:b1b96986bf964cdaae64b3ac075b825b2021-11-25T18:04:36ZSynchronization Control of Dynamic Positioning Ships Using Model Predictive Control10.3390/jmse91112392077-1312https://doaj.org/article/b1b96986bf964cdaae64b3ac075b825b2021-11-01T00:00:00Zhttps://www.mdpi.com/2077-1312/9/11/1239https://doaj.org/toc/2077-1312Underway replenishment is essential for ships performing long-term missions at sea, which can be formulated into the problem of leader-tracking configuration. Not only the position and orientation but also the velocities are required to be controlled for ensuring the synchronization; additionally, the control inputs are constrained. On this basis, in this paper, a novel synchronization controller on account of model predictive control (MPC) for dynamic positioning (DP) ships is devised to achieve underway replenishment. Firstly, a novel synchronization controller based on MPC is devised to ensure the synchronization of not only the position and orientation but the velocities; furthermore, it is a beneficial solution for its advantages in handling the control input constraints ignored in most studies of underway replenishment. Secondly, a neurodynamic optimization system is applied to the implementation of MPC, which can improve the computational efficiency and shorten the simulation time. Thirdly, stability, frequently neglected by traditional MPC, is ensured by the means of adding a terminal cost function exported from the Lyapunov equation into the objective function. Finally, the effectiveness and advantages of the proposed control design are illustrated by extensive simulations.Cheng LiuTing SunQizhi HuMDPI AGarticledynamic positioning (DP)synchronizationmodel predictive control (MPC)neurodynamic optimizationNaval architecture. Shipbuilding. Marine engineeringVM1-989OceanographyGC1-1581ENJournal of Marine Science and Engineering, Vol 9, Iss 1239, p 1239 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	dynamic positioning (DP) synchronization model predictive control (MPC) neurodynamic optimization Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581
spellingShingle	dynamic positioning (DP) synchronization model predictive control (MPC) neurodynamic optimization Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 Cheng Liu Ting Sun Qizhi Hu Synchronization Control of Dynamic Positioning Ships Using Model Predictive Control
description	Underway replenishment is essential for ships performing long-term missions at sea, which can be formulated into the problem of leader-tracking configuration. Not only the position and orientation but also the velocities are required to be controlled for ensuring the synchronization; additionally, the control inputs are constrained. On this basis, in this paper, a novel synchronization controller on account of model predictive control (MPC) for dynamic positioning (DP) ships is devised to achieve underway replenishment. Firstly, a novel synchronization controller based on MPC is devised to ensure the synchronization of not only the position and orientation but the velocities; furthermore, it is a beneficial solution for its advantages in handling the control input constraints ignored in most studies of underway replenishment. Secondly, a neurodynamic optimization system is applied to the implementation of MPC, which can improve the computational efficiency and shorten the simulation time. Thirdly, stability, frequently neglected by traditional MPC, is ensured by the means of adding a terminal cost function exported from the Lyapunov equation into the objective function. Finally, the effectiveness and advantages of the proposed control design are illustrated by extensive simulations.
format	article
author	Cheng Liu Ting Sun Qizhi Hu
author_facet	Cheng Liu Ting Sun Qizhi Hu
author_sort	Cheng Liu
title	Synchronization Control of Dynamic Positioning Ships Using Model Predictive Control
title_short	Synchronization Control of Dynamic Positioning Ships Using Model Predictive Control
title_full	Synchronization Control of Dynamic Positioning Ships Using Model Predictive Control
title_fullStr	Synchronization Control of Dynamic Positioning Ships Using Model Predictive Control
title_full_unstemmed	Synchronization Control of Dynamic Positioning Ships Using Model Predictive Control
title_sort	synchronization control of dynamic positioning ships using model predictive control
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b1b96986bf964cdaae64b3ac075b825b
work_keys_str_mv	AT chengliu synchronizationcontrolofdynamicpositioningshipsusingmodelpredictivecontrol AT tingsun synchronizationcontrolofdynamicpositioningshipsusingmodelpredictivecontrol AT qizhihu synchronizationcontrolofdynamicpositioningshipsusingmodelpredictivecontrol
_version_	1718411702249193472

Synchronization Control of Dynamic Positioning Ships Using Model Predictive Control

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