A DMPC-Based Approach to Circular Cooperative Path-following Control of Unmanned Underwater Vehicles

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Abstract

As a class of important industrial Cyber-Physical systems, multiple unmanned underwater vehicle systems (UUVs) connected via acoustic communication find widely applications in many maritime missions and underwater operations. This paper studies the circular cooperative path-following control problem of a group of UUVs subject to system constraints, where the distributed model predictive control (DMPC) approach is proposed to achieve optimal circular formation. Based on the idea from virtual vehicles, the error dynamic of each UUV with respect to its desired virtual vehicle is first obtained. Then the cost function is designed by penalizing the path-following error and the angle inconsistency in a circle between two UUVs within a communication range. With this cost function, a DMPC problem is formulated to provide distributed path-following control law for each UUV. Finally, the effectiveness of the proposed approach is verified by a simulation study.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1207-1212
Number of pages6
ISBN (Electronic)9781728136660
DOIs
StatePublished - Jun 2019
Event28th IEEE International Symposium on Industrial Electronics, ISIE 2019 - Vancouver, Canada
Duration: 12 Jun 201914 Jun 2019

Publication series

NameIEEE International Symposium on Industrial Electronics
Volume2019-June

Conference

Conference28th IEEE International Symposium on Industrial Electronics, ISIE 2019
Country/TerritoryCanada
CityVancouver
Period12/06/1914/06/19

Keywords

  • circular formation
  • cooperative path-following
  • Distributed model predictive control (DMPC)
  • system constraints

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