Portable dynamic positioning control system on a barge in short-crested waves using the neural network algorithm

Autor:	Ming-Chung Fang, Zi Yi Lee
Rok vydání:	2013
Předmět:	Engineering Artificial neural network Renewable Energy Sustainability and the Environment business.industry Mechanical Engineering BARGE PID controller Ocean Engineering Oceanography Nonlinear system Control theory Control system Dynamic positioning Time domain business Simulation
Zdroj:	China Ocean Engineering. 27:469-480
ISSN:	2191-8945 0890-5487
DOI:	10.1007/s13344-013-0040-x
Popis:	This paper develops a nonlinear mathematical model to simulate the dynamic motion behavior of the barge equipped with the portable outboard Dynamic Positioning (DP) system in short-crested waves. The self-tuning Proportional-Derivative (PD) controller based on the neural network algorithm is applied to control the thrusters for optimal adjustment of the barge position in waves. In addition to the wave, the current, the wind and the nonlinear drift force are also considered in the calculations. The time domain simulations for the six-degree-of-freedom motions of the barge with the DP system are solved by the 4th order Runge-Kutta method which can compromise the efficiency and the accuracy of the simulations. The technique of the portable alternative DP system developed here can serve as a practical tool to assist those ships without being equipped with the DP facility while the dynamic positioning missions are needed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b24ce9a786d000328424f957e9afd699 https://doi.org/10.1007/s13344-013-0040-x Zobrazit plný text záznamu Full text from SpringerLink