Intelligent control algorithm for ship dynamic positioning

• Autorzy: Meng W. , Sheng L. H. , Qing M. , Rong B. G.

Identyfikatory

DOI

10.2478/acsc-2014-0026

• Języki publikacji: EN

Abstrakty

EN

Ship motion in the sea is a complex nonlinear kinematics. The hydrodynamic coefficients of ship model are very difficult to accurately determine. Establishing accurate mathematical model of ship motion is difficult because of changing random factors in the marine environment. Aiming at seeking a method of control to realize ship positioning, intelligent control algorithms are adopt utilizing operator's experience. Fuzzy controller and the neural network controller are respectively designed. Through simulations and experiments, intelligent control algorithm can deal with the complex nonlinear motion, and has good robustness. The ship dynamic positioning system with neural network control has high positioning accuracy and performance.

Słowa kluczowe

EN

dynamic positioning; fuzzy control; neural network control; BP algorithm

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2014
• Tom: Vol. 24, no. 4
• Strony: 479--497
• Opis fizyczny: Bibliogr. 23 poz., rys., tab.

Twórcy

autor

Meng W.

• Wuhan University of Technology, Mechanic and Electronic Engineering,Wuhan, China

autor

Sheng L. H.

• Wuhan University of Technology, Mechanic and Electronic Engineering,Wuhan, China

autor

Qing M.

• Wuhan University of Technology, Mechanic and Electronic Engineering,Wuhan, China

autor

Rong B. G.

• Wuhan University of Technology, Mechanic and Electronic Engineering,Wuhan, China

Bibliografia

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