模糊神经网络系统在滩海铺管敷缆船中的应用设计  

Application of Fuzzy Neural Networks to Pipelaying Vessel

作　　者：牛萍[1] 王建国[1] 潘学军[1] 刘华毅[1] 

机构地区：[1]大连理工大学自动化系

出　　处：《船舶工程》2000年第5期28-32,共5页Ship Engineering

摘　　要：针对滩海铺管敷缆船数学模型过于复杂 ,难以用传统控制进行建模的特点 ,提出了用模糊神经网络进行智能化控制的方案 ,并采用了一种较为简单实用的全局最优算法简化计算过程。实验证明 ,此控制系统具有较强的自适应性与自学习能力 。Since the mathematical model of pipe cablelaid vessel is very complicate and difficult to be established using traditional method,a fuzzy neural networks scheme for intelligent controlling is proposed in this paper.To simplify the calculation,a simple and practical method which is global optimum is put forward.Experiment demonstrates that the system has good self adaptability and self studying ability,certifying the correctness and practicability of the proposed scheme.

关 键 词：铺管敷缆船 模糊神经网络 锚泊系统 控制方案 

分 类 号：U674.303[交通运输工程—船舶及航道工程] TP183[交通运输工程—船舶与海洋工程]