基于神经网络和随机森林的船舶横摇预测  

Research on ship roll prediction based on neural network and random forest

作　　者：李佳萌 陈少华[1] 康谦泽 LI Jia-meng;CHEN Shao-hua;KANG Qian-ze(Dalian Jiaotong University,Automation and Electrical Engineering College,Dalian 116028,China)

机构地区：[1]大连交通大学自动化与电气工程学院,辽宁大连116028

出　　处：《舰船科学技术》2022年第9期75-78,共4页Ship Science and Technology

摘　　要：本文针对船舶在随机海浪中的运动,通过分析海浪波能谱、海浪波倾角谱、海浪有效波倾角谱和船舶受力运动,建立随机海浪模型,并用Matlab对海浪波倾角、有效波倾角以及船舶横摇运动进行仿真实验。根据实验数据,采用BP神经网络与随机森林分别及融合预测方法对船舶横摇运动进行预测。通过船舶实际横摇与预测结果对比分析可知,BP神经网络与随机森林组合预测方法更为精准,为船舶横摇预测控制及船舶稳定平台控制奠定了基础。In this paper,a random wave model is established based on the analysis of wave energy spectrum,wave inclination spectrum,effective wave inclination spectrum and ship force movement,aiming at the ship’s rolling movement in the waves.Simulation experiments are carried out on the wave inclination,effective wave inclination and ship’s rolling movement through Matlab.According to the experimental data,BP neural network,random forest and fusion prediction method are used to simulate and predict the ship’s roll motion,through the comparative analysis of actual ship roll and prediction results,it is concluded that the combined prediction method of BP neural network and random forest is more accurate.The simulation experiment analysis lays the foundation for ship roll prediction control and ship stability platform control.

关 键 词：船舶横摇角 随机海浪 预测模型 随机森林 BP神经网络 

分 类 号：U665[交通运输工程—船舶及航道工程]