基于船间水动力近似数学模型的操纵运动预报  

Maneuvering Motion Prediction based on Approximate Mathematical Model of Hydrodynamic Force between Ships

作　　者：宋晶晶[1] SONG Jingjing(Bohai Marine Vocational College,Huludao 125101,China)

机构地区：[1]渤海船舶职业学院,辽宁葫芦岛125101

出　　处：《新技术新工艺》2024年第8期70-76,共7页New Technology & New Process

摘　　要：船间水动力的确定是研究船舶相遇、追越问题的基础,为快速对追越船间的操纵性能进行预报,提出了船间水动力和力矩预测近似数学模型,建立了追越船间运动数学模型,并对建立的考虑船间水动力的操纵运动预报方法进行了测试研究。基于船间水动力和力矩预测近似数学模型,对舵角、船间水动力和力矩无量纲系数随相对距离的变化规律进行了对比分析,并对不同速度下水动力和力矩系数进行了预报分析,最后将所建立的追越船间运动数学模型与商业导航模拟器预测结果进行对比,同时进行了追越船间的操纵运动预报,结果表明:建立的船间水动力近似数学模型和操纵运动模型预报结果准确,计算速度快,可以用于导航器的仿真系统。The determination of the hydrodynamic force between ships was the basis for studying the problems of ship encounter and overtaking.In order to quickly predict the maneuverability of overtaking ships,it was proposed that an approximate mathematical model for predicting the hydrodynamic force and moment between ships,and a mathematical model for overtaking ship motion was established,at the same time,the established prediction method of maneuvering motion considering the hydrodynamic force between ships was tested and studied.Based on the approximate mathematical model for predicting the hydrodynamic force and moment between ships,the variation law of the rudder angle,the hydrodynamic force and the non-dimensional coefficient of the moment between ships with the relative distance were compared and analyzed,and the hydrodynamic force and moment coefficients at different speeds were predicted and analyzed.Finally,the established mathematical model for overtaking ship motions was compared with the prediction results of the commercial navigation simulator,and the maneuvering motion prediction between overtaking ships was also carried out.The results showed that the approximate mathematical model and the established maneuvering motion model had accurate prediction results and fast calculation speed,which could be used in the simulation system of the navigator.

关 键 词：船间水动力 近似模型 运动模型 操纵预报 

分 类 号：U662.2[交通运输工程—船舶及航道工程] TB114[交通运输工程—船舶与海洋工程] TB122[理学—概率论与数理统计]