Containment Maneuvering of Marine Surface Vehicles with Multiple Parameterized Paths via Spatial-Temporal Decoupling

Zhouhua Peng, Jun Wang*, Dan Wang

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

209 Citations (Scopus)

Abstract

The containment maneuvering of marine surface vehicles has two objectives. The first one is to force the marine vehicles to follow a convex hull spanned by multiple parameterized paths. The second one is to meet the requirement of a desired dynamic behavior along multiple paths during containment. A modular design approach to the containment maneuvering of marine surface vehicles is presented. At first, an estimator module using a recurrent neural network is proposed to estimate the unknown kinetics induced by model uncertainty, unmodeled dynamics, and environmental disturbances. Next, a controller module is developed based on a distributed path maneuvering design and a linear tracking differentiator. Finally, two path update laws based on a maneuvering error feedback and a filtering update scheme, respectively, are constructed. The estimator-controller pair forms a cascade system, which is proved to be input-To-state stable. The developed controller has a desirable spatial-Temporal decoupling property, and geometric and dynamic objectives can be achieved separately. Results of comparative studies are provided to substantiate the efficacy of the proposed method.
Original languageEnglish
Pages (from-to)1026-1036
JournalIEEE/ASME Transactions on Mechatronics
Volume22
Issue number2
Online published23 Nov 2016
DOIs
Publication statusPublished - Apr 2017

Research Keywords

  • Containment maneuvering
  • dynamic surface control (DSC)
  • recurrent neural network (RNN)
  • spatial-Temporal decoupling
  • tracking differentiator (TD)

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