摘要
以1艘无人滑行艇为模型,在船模不同吃水和倾斜角度的情况下进行横摇衰减试验,得到一系列横摇角速度变化曲线。分别建立线性、非线性横摇衰减运动模式系统辨识的数学模型,以系统辨识原理为基础,确立目标函数。改编基于Visual Basic 6.0的遗传算法系统辨识程序,通过2种系统对无人滑行艇横摇的试验数据分别进行辨识,验证所改编程序的可行性。选取典型的小角度和大角度的辨识结果,对2种数学模型下的辨识结果进行比较。得出对于无人滑行艇,非线性数学模型的辨识结果较好的结论。
In this paper, the author took an unmanned planting boat as a model and conducted a series of roll decay test on condition that the ship model was in different drafts and tilt angle. Finally,The author got a series of roll angular velocity curve and established respectively mathematical model of linear and nonlinear roll decay motion mode system identification. Based on the principle of system identification, the author established the objective function. Then the author adapted the genetic algorithm of system identification program based on Visual Basic 6.0, and through the two kinds of systems,the author identified respectively the test data of the roll motion of the unmanned planting boat and confirmed the feasibility of the adapted program, selecting the identification result of typical small angle and large angle and comparing the identification result of the two mathematical models, the author drew a conclusion that for the unmanned planting boat, the identification result of nonlinear mathematical model is better.
出处
《舰船科学技术》
北大核心
2014年第4期27-30,35,共5页
Ship Science and Technology
关键词
无人滑行艇
横摇运动模式
船模试验
系统辨识
unmanned planting boat
roll motion mode
ship model test
system identification
