摘要
船舶运动受扰力预测,是实现对船舶摇摆控制的关键步骤。为达到有效控制船舶摇摆的目的,基于遗传神经网络,完成船舶运动受扰建模预报和预测方法选择。模拟船舶航行状态,设计仿真对比实验结果表明,基于遗传神经网络的船舶受扰力预测模型,有效提升横向与纵向运动受扰力预测准确性,完成有效控制船舶摇摆的目的。
The prediction of ship motion disturbance is the key step to achieve the control of ship swing. In order to control ship swaying effectively, a method of modeling, forecasting and forecasting ship motion disturbance is proposed based on genetic neural network. Simulation of ship navigation, design simulation experimental results show that the genetic neural network prediction model based on disturbance force, effectively enhance the lateral and longitudinal motion disturbance force prediction accuracy, effective control of the ship to complete.
出处
《舰船科学技术》
北大核心
2017年第24期16-18,共3页
Ship Science and Technology
基金
贵州省科技厅联合基金项目(LH字[2014]7489)
贵州省科技厅联合基金项目(LH字[2015]7250)
贵州省教学内容与课程体系改革项目(2015SJJGXM005)
关键词
遗传神经网络
运动受扰力
预测模型
船舶航行
genetic neural network
motion disturbance
prediction model
ship navigation