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

Xin Hu, Jia-lu Du, J. Li, Chuansheng Yang
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引用次数: 1

Abstract

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.
基于数据挖掘的船舶动力定位系统模糊控制设计
针对水面舰艇模型动态参数未知和环境干扰未知的动态定位问题,提出了一种基于数据挖掘的模糊控制方案。在船舶一定的运行和环境条件下,利用数据挖掘技术提取科学有效的船舶DP模糊规则。基于提取的模糊规则,设计了DP模糊控制律。最后,对北方快船进行了仿真研究,验证了所设计的模糊控制律的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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