Application of particle swarm optimized PDD2 control for ship roll motion with active fins

Melek Ertogan, Seniz Ertugrul, Metin Taylan

Araştırma sonucu: ???type-name???Makalebilirkişi

17 Atıf (Scopus)

Özet

This paper presents an intelligent control of a ship's roll motion damping system consisting of a pair of active fins driven by a hydraulic system. The suggested intelligent controller updates coefficients of the proportional-derivative-second derivative controller (PDD2) using particle swarm optimization (PSO). The memory-based and the triggered-memory-based PSO algorithms are studied to improve the performance of PSO-PDD2 algorithm for various sea conditions using simulations. The resulting triggered-memory-based PSO-PDD2 controller shows a superior total roll motion damping performance. Damping of small roll motions has also been achieved. The PSO-PDD2 active fin system controller has been implemented for the sample ship, Marti, in a full-scale sea trial in real time. Results of both simulations and real-time trials are presented. Application of PSO has yielded very promising results not only for PDD2 roll damping controller but also for other possible marine control application.

Orijinal dilİngilizce
Makale numarası7270316
Sayfa (başlangıç-bitiş)1004-1014
Sayfa sayısı11
DergiIEEE/ASME Transactions on Mechatronics
Hacim21
Basın numarası2
DOI'lar
Yayın durumuYayınlandı - Nis 2016

Bibliyografik not

Publisher Copyright:
© 1996-2012 IEEE.

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