Application of an on-line trainning predictor/controller to dynamic positioning of floating structures

doi:10.6180/jase.2001.4.3.01

淡江大學機構典藏 > 工學院 > 機械與機電工程學系暨研究所 > 期刊論文 > Item 987654321/52800

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題名:	Application of an on-line trainning predictor/controller to dynamic positioning of floating structures
作者:	李宗翰;Lee, Tzung-hang;Cao, Yusong;Lin, Yen-mi
貢獻者:	淡江大學機械與機電工程學系
關鍵詞:	On-line training;Neural network predictor/controller;Dynamic positioning
日期:	2001-09-01
上傳時間:	2010-12-01 10:32:44 (UTC+8)
出版者:	臺北縣：淡江大學
摘要:	An on-line training functional-link neural network predictor/controller for dynamic positioning of water surface structures is described in this paper. To develop a neural network for time-evolving systems, the deterministic on-line training model in a traditional parameter identification theory and the functional-link network are combined. The system's previous input and output are used to be additional enhancements to the functional-link network. The on-line training neural network predictor acquires the knowledge about the system using a small number of samples of the latest system status measured on board of the structure. The trained functional-link neural network is used with an optimal controller to control the output of the system. The accuracy and robustness of the on-line training predictor are demonstrated through the numerical simulations of two ship maneuvers. The on-line training neural network predictor/controller is applied to the dynamic positioning (station-keeping) of a ship in a uniform current with and without external environmental disturbances. The results of the numerical simulations are very satisfactory.
關聯:	淡江理工學刊=Tamkang journal of science and engineering 4(3)，頁141-154
DOI:	10.6180/jase.2001.4.3.01
顯示於類別:	[機械與機電工程學系暨研究所] 期刊論文

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