船舶航向保持运动的间接自回归历遍模型建模
Indirect auto-regressive exogenous modeling of ship course-keeping motion
摘要点击 174  全文点击 69  投稿时间:2019-08-08  修订日期:2020-11-14
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DOI编号  10.7641/CTA.2020.90660
  2021,38(1):53-62
中文关键词  船舶  建模  自回归  预测  长期预测
英文关键词  ship  modeling  autoregressive  prediction  long-run forecast
基金项目  国家自然科学基金项目(61403045, 61773402, 61540037, 61971071).
作者单位E-mail
卢秋铸 长沙理工大学 315877916@qq.com 
吴军 长沙理工大学 junwu@csust.edu.cn 
陈佰健 长沙理工大学  
杨鑫 长沙理工大学  
中文摘要
      本文针对船舶航向保持过程提出了一种间接的建模方法来描述船舶舵角与艏摇角之间的关系. 建模数据 来源于东京海洋大学实验船舶“夕路丸”的真实航行数据. 首先, 以船舶舵角为输入船舶艏摇角速度为输出, 建立 一个过渡自回归历遍(ARX)模型; 然后根据艏摇角速度和艏摇角间的差分关系, 得到最终的ARX模型. 再多组测试 数据下, 与机动建模组(MMG)模型和直接ARX模型的长期预测性能做了比较. 仿真结果显示, 本文提出的间接建模 方法对船舶的航向保持过程有更好的长期预测效果.
英文摘要
      This paper proposes an indirect modeling method for the ship’s course-keeping control process which could describe the relationship between the rudder angle and the heading angle deviation. The modeling data is from the actual sampling data of the ship“Shioji-Maru”which is an experimental ship of Tokyo university of marine science and technology. Firstly, using ship’s rudder angle as input and ship’s yaw rate as output, a transitional ARX model could be built; then according to the relationship between the yaw rate and the heading angle deviation, the final ARX model could be obtained. The long-term prediction comparisons with the MMG model and the direct ARX model are conducted under a group of testing data. The simulation results show that the indirect modelling method proposed in this paper could give a preferable modeling performance for the ship’s course-keeping control process.