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Output-Constrained Point- to- Point Tracking of Underactuated Surface Vessel with Uncertainties

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper considers the point-to-point tracking control problem of an underactuated surface vessel (USV) with output constraints and uncertainties. The controller design is based on backstepping algorithm. Barrier Lyapunov function (BLF) is used to address the output constraints. In addition, a radial basis function neural network (RBFNN) is constructed to provide an estimation and compensation of the unknown disturbances. It is proved that under the proposed control, the constraints will never be violated, and all closed-loop signals are bounded. Simulation results and comparisons illustrate the effectiveness and advantages of the proposed controller.

Original languageEnglish
Title of host publicationProceedings of the 37th Chinese Control Conference, CCC 2018
EditorsXin Chen, Qianchuan Zhao
PublisherIEEE Computer Society
Pages519-524
Number of pages6
ISBN (Electronic)9789881563941
DOIs
StatePublished - 5 Oct 2018
Event37th Chinese Control Conference, CCC 2018 - Wuhan, China
Duration: 25 Jul 201827 Jul 2018

Publication series

NameChinese Control Conference, CCC
Volume2018-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference37th Chinese Control Conference, CCC 2018
Country/TerritoryChina
CityWuhan
Period25/07/1827/07/18

Keywords

  • Barrier Lyapunov function
  • Output constraints
  • Point-to-point
  • Trajectory tracking
  • Underactuated Surface Vessel

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