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应用科学学报 ›› 2000, Vol. 18 ›› Issue (3): 211-213.

• 论文 • 上一篇    下一篇

自适应模糊建模及其在船舶动力定位中的应用

芮世民1, 朱继懋2   

  1. 1. 上海交通大学机械工程学院, 上海 200030;
    2. 上海交通大学海洋工程学院, 上海 200030
  • 收稿日期:1998-07-07 修回日期:1999-11-24 出版日期:2000-09-30 发布日期:2000-09-30
  • 作者简介:芮世民(1972-),男,安徽宣城人,讲师,博士

Adaptive Fuzzy Modeling and Its Use in Ship Dynamic Positioning

RUI Shi-min1, ZHU Ji-mao2   

  1. 1. School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200030, China;
    2. School of Ocean Engineering, Shanghai Jiaotong University, Shanghai 200030, China
  • Received:1998-07-07 Revised:1999-11-24 Online:2000-09-30 Published:2000-09-30

PDF

79

被引次数

7

摘要： 针对船在海上其动力学模型很难精确建立,而且诸如风、浪、流等外部随机干扰的统计特性也在不断变化,作者在船舶动力定位中采用自适应模糊逻辑系统实时学习船的漂移动力学关系实现对系统的建模,并在此基础上预测为使船在下一时刻与预定位置误差最小所需的控制力,最终达到船舶动力定位的目的.仿真结果说明了该方法在不同海况下均能达到很好的定位控制效果.

关键词: 自适应建模, 海洋工程, 动力定位, 模糊逻辑系统

Abstract: Ship dynamics is always hard to model, and the statistics of stochastic environment forces (wind, waves, current flow, etc.) are changing all the time in different sea states. Therefore, the authors introduce an adaptive fuzzy logic system in ship dynamic positioning. The dynamic model is obtained by learning the ship's drift dynamic behavior through using fuzzy logic. Furthermore, the desired control force determined by minimizing the error between predicted and desired ship position at the next step. Simulations at different sea states have shown that the scheme is effective.

Key words: fuzzy logic system, ocean engineering, dynamic positioning, adaptive modeling

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