Data-Mining-Based Fuzzy Control Design for Marine Dynamic Positioning System of Ships
作者单位：School of Marine Electrical EngineeringDalian Maritime University School of MathematicsPhysicsand Information ScienceZhejiang Ocean University
会议名称：《第37届中国控制会议》
会议日期：2018年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 082402[工学-轮机工程] 0824[工学-船舶与海洋工程]
基 金：supported in part by National Natural Science Foundation(NNSF)of China under Grant 51079013 in part by Program for Liaoning Excellent Talents in University under Grant LR2015007 in part by Technology Foundation for Selected Overseas Chinese Scholar the Ministry of Human Resources and Social Security of the People’s Republic of China in part by Fundamental Research Funds for the Central Universities under Grand 3132017302 in part by Key Laboratory of Oceanographic Big Data Mining&Application of Zhejiang Province under Grant OBDMA201506
关 键 词：Dynamic positioning of ships unknown model parameters unknown disturbances data-mining fuzzy control
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 *** 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 *** on the extracted fuzzy rules,the DP fuzzy control law is ***,the simulation studies on a supply ship Northern Clipper are carried out to verify the effectiveness of the designed DP fuzzy control law.