Data-Mining-Based Fuzzy Control Design for Marine Dynamic Positioning System of Ships

被引：0
|
作者：
Hu, Xin [1 ]
Du, Jialu [1 ]
Li, Jian [1 ]
Yang, Chuansheng [2 ]
机构：
[1] Dalian Maritime Univ, Sch Marine Elect Engn, Dalian 116026, Peoples R China
[2] Zhejiang Ocean Univ, Sch Math Phys & Informat Sci, Zhoushan 316000, Peoples R China
来源：
2018 37TH CHINESE CONTROL CONFERENCE (CCC) | 2018年
关键词：
Dynamic positioning of ships; unknown model parameters; unknown disturbances; data-mining; fuzzy control; FEEDBACK;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Considering the dynamic positioning (DP) problem of a surface ship with unknown model dynamic parameters and unknown environmental disturbances, this paper develops a data -mining -based fuzzy control scheme. Under the certain operating and environmental conditions of a ship, the scientific and effective fuzzy rules for the DP of ships are extracted using the data -mining technique. Based on the extracted fuzzy rules, the DP fuzzy control law is designed. Finally, the simulation studies on a supply ship Northern Clipper are carried out to verify the effectiveness of the designed DP fuzzy control law.
引用
收藏
页码：636 / 641
页数：6
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