响应型船舶运动模型的建模与遗传算法辨识

Modeling Ship Response Motion and GA Identification

为了建立更准确的响应型船舶运动模型,在充分考虑横摇对舵响应的非最小相位性、阻尼震荡性和惯性横倾的基础上,提出一种横摇响应型模型,其参数具有物理意义明显和估值简单的特点。在此基础上,以某多功能运输船的非线性运动模型的对舵响应输出为试验数据,应用自适应遗传算法对船舶运动响应模型的各参数进行辨识,得到该船的艏摇与横摇的响应模型。仿真试验结果显示,遗传算法辨识后的船舶响应型模型能以较高的精度逼近试验数据,进而验证了响应型船舶运动模型及其参数辨识的有效性和可靠性。

To improve the accuracy of ship response motion model,a rolling response model is developed in full consideration of the non-minimum phase,damped oscillation and inertial heeling of ship rolling responses to the rudder motion.The model parameters have clear physical significances and can be estimated simply according to a response curve.On the basis of the response output of a nonlinear multifunction naval vessel model to its rudder,the parameters of the ship response motion model are identified by using adaptive GA algorithm and are used in the yawing and rolling response models of the ship.Simulation tests results indicate that the ship response motion model after identified by using adaptive GA algorithm reflects the test data with a higher precision,which validates the effectiveness and reliability of the model and its parameter identification.