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A Survey on Tactical Control Algorithms for Path Tracking Unmanned Surface Vehicles
Date
2016-11-15
Author
Kumru, Murat
Leblebicioğlu, Mehmet Kemal
Erunsal, Izzet Kagan
Ahiska, Kenan
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
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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.
Subject Keywords
Unmanned surface vehicles
,
USV
,
Modeling
,
PID
,
Pole placement
,
Feedback linearization
,
Sliding mode controller
,
Path tracking
,
Genetic algorithm
URI
https://hdl.handle.net/11511/54472
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar