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基于航向控制构建的船舶模糊模型

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为了保证船舶航行安全,应研究船舶航行操舵控制.选取模糊评价系统对航行船舶操舵控制构建模糊综合评价模型,利用神经网络法辨识和估算模型中各参数变量,在考虑模糊模型控制其自适应能力和非线性条件下,进行航行船舶模糊模型仿真试验.此模型避免了数学模型的烦琐和数据冗余,试验结果参数与实船数据比较接近证明其较符合实际情况.试验结果表明:该航行船舶模糊综合评价模型及参数变量辨识方法具有科学性和实用性,良好的航向控制效果提高了船舶航行的安全性.
Vessel's Fuzzy Modeling Based on Course Control
To guarantee the safety of a vessel's navigation,its navigation steering control should be studied.The fuzzy comprehensive evaluation model is constructed by selecting the fuzzy evaluation system for the steering control of a vessel in navigation.The neural network method is utilized to identify and estimate the parameter variables in the model,and the fuzzy model simulation test for the navigating vessel is conducted considering the fuzzy model controlling its adaptive ability and nonlinear conditions.This model avoids the tediousness and data redundancy of the mathematical model,and the parameters of the test results are closer to the real vessel data,which proves that it is comparatively in line with the actual situation.The test results shows that the fuzzy com-prehensive evaluation model and the parameter variable identification method of the navigating vessel are scien-tific and practical,and the good course control effect improves the safety of the vessel's navigation.

navigating vesselfuzzy comprehensive evaluation modelneural network systemrudder control

李成海、胡甚平、崔建辉、王建涛

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山东交通职业学院 航海学院,山东 潍坊 261206

上海海事大学 商船学院,上海 201306

天津理工大学 海运学院,天津 300384

航行船舶 模糊综合评价模型 神经网络系统 控制使舵

2024

江苏航运职业技术学院学报
南通航运职业技术学院

江苏航运职业技术学院学报

影响因子:0.289
ISSN:2097-0358
年,卷(期):2024.23(3)