English  |  正體中文  |  简体中文  |  Items with full text/Total items : 28611/40649
Visitors : 627265      Online Users : 75
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search

Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/26277

Title: Fuzzy Controller Design for Dynamic Positioning Systems for Ship with Passive Properties
Authors: C. C. Ku;C. L. Chang;W. J. Chang
Contributors: 國立臺灣海洋大學:輪機工程學系
Keywords: Dynamic Positioning Systems for Ship;Takagi-Sugeno fuzzy model;Linear Matrix Inequality
Date: 2008
Issue Date: 2011-10-20T08:34:39Z
Publisher: 16th National Conference on Fuzzy Theory and Its Applications
Abstract: Abstract:With the development of fuzzy approach, the stability analysis and synthesis of nonlinear Dynamic Positioning Systems for Ship (DPSS) with external disturbances is investigated in this paper. Through applying the Takagi-Sugeno (T-S) fuzzy model approach, the nonlinearities of DPSS can be described by fuzzy set and apply linear controller design method to design fuzzy controller. According to disturbed environment of ocean, the strictly input passive theory is used for attenuating the external disturbance effect on the system in this paper. By the calculation technique, the Linear Matrix Inequality (LMI) approach (convex optimization algorithm) is used to find the feasible solutions with the developed stability condition of this paper. Form the simulation results, the disturbed DPSS can be stabilized and achieved strictly input passive via designed fuzzy controller.
Relation: pp.P0152
URI: http://ntour.ntou.edu.tw/handle/987654321/26277
Appears in Collections:[輪機工程學系] 演講及研討會

Files in This Item:

There are no files associated with this item.

All items in NTOUR are protected by copyright, with all rights reserved.


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback