EconPapers    
Economics at your fingertips  
 

Adaptive containment control of multi-leader fleet of underwater vehicle-manipulator autonomous systems carrying a load

Sami El-Ferik, Siddig M. Elkhider and Jawhar Ghommam

International Journal of Systems Science, 2019, vol. 50, issue 8, 1501-1516

Abstract: This paper addresses the problem of a fleet containment under the leader-follower strategy with direct topology. The complete fleet navigation, guidance and control have been designed using $\mathcal {L}_1 $L1 adaptive control and the artificial potential field formation-based approach. The framework is developed to control the navigation and formation of a fleet of underwater vehicle-manipulator systems (UVMs). The proposed containment control approach is a distributed cascade control structure composed of a navigation and guidance controller and a tracking controller. For the path tracking control, $\mathcal {L}_1 $L1 adaptive is applied to the general equations of motion of the underwater vehicle equipped with a 3 link manipulator owing to its ability to achieve fast and robust adaptation. Potential field like control has been used for navigation and guidance. The objective is to ensure robust formation maintenance while in motion or in a standby position. Simulation results show the performance of the control approach even when subjected to ocean disturbances.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2019.1597939 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tsysxx:v:50:y:2019:i:8:p:1501-1516

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TSYS20

DOI: 10.1080/00207721.2019.1597939

Access Statistics for this article

International Journal of Systems Science is currently edited by Visakan Kadirkamanathan

More articles in International Journal of Systems Science from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:tsysxx:v:50:y:2019:i:8:p:1501-1516