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  4. A survey on tactical control algorithms for path tracking unmanned surface vehicles
 
conference paper

A survey on tactical control algorithms for path tracking unmanned surface vehicles

Kumru, Murat
•
Erunsal, Izzet Kagan
•
Ahiska, Kenan
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February 2, 2017
ICARCV 2016. 14th International Conference on Control, Automation, Robotics and Vision
International Conference on Control, Automation, Robotics and Vision (ICARCV)

In this study, a survey on control allocation algorithms in tactical level control for path tracking unmanned surface vehicles (USV) is conducted. The strategic goal in the path tracking problem is to assist navigation solution of an unmanned underwater vehicle (UUV). USV with the help of its onboard acoustic sensors, tracks UUV according to constant bearing guidance rule. The survey on tactical controllers comprises comparisons of tracking performances of USVs under proportional-integral-derivative, pole placement, feedback linearization and sliding mode controllers according to the strategic goal. The parameters of the controllers are tuned with a common elitist genetic algorithm optimization infrastructure. The disturbance rejection capabilities of the controllers are discussed through Monte Carlo simulations of USVs within various wave disturbances as well.

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Type
conference paper
DOI
10.1109/ICARCV.2016.7838568
Author(s)
Kumru, Murat
Erunsal, Izzet Kagan
Ahiska, Kenan
Leblebicioglu, Mehmet Kemal
Date Issued

2017-02-02

Publisher

IEEE

Published in
ICARCV 2016. 14th International Conference on Control, Automation, Robotics and Vision
ISBN of the book

978-1-5090-3549-6

Total of pages

6

Subjects

Unmanned surface vehicles

•

USV

•

modeling

•

PID

•

pole placement

•

feedback linearization

•

sliding mode controller

•

path tracking

•

genetic algorithm

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
DISAL  
Event nameEvent placeEvent date
International Conference on Control, Automation, Robotics and Vision (ICARCV)

Phuket, Thailand

13-15 November 2016

Available on Infoscience
September 26, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/161602
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