在海洋资源开发中，船舶的动力定位精度至关重要。传统的定位锚泊技术受到海深、洋流、海浪以及海风等多种因素影响，难以达到控制要求。本文提出一种基于改进PID算法、神经网络算法以及模糊控制算法的船舶动力定位混合控制器，设计混合控制器的整体结构，对混合控制器中的改进PID算法控制器、神经网络控制器和模糊控制器进行详细设计和仿真。仿真结果表明，本文设计的船舶动力定位混合控制器能够实现对干扰信号的预测和跟随，且能够适应快速响应控制，因而具有较大的实用性和先进性。
In the development of Marine resources, the ship dynamic positioning accuracy is very important. The traditional positioning anchoring technology is affected by many factors such as sea depth, ocean current, sea wave and sea wind, so it is difficult to meet the control requirements. In this paper, a ship dynamic positioning hybrid controller based on improved PID algorithm, neural network algorithm and fuzzy control algorithm is proposed. The overall structure of the hybrid controller is designed, and the improved PID algorithm controller, neural network controller and fuzzy controller in the hybrid controller are designed and simulated in detail. The ship dynamic positioning hybrid controller designed in this paper can predict and follow the interference signal, and can adapt to the fast response control, so it has greater practicality and advancement.
2023,45(24): 141-144 收稿日期：2023-09-07
DOI：10.3404/j.issn.1672-7649.2023.24.026
分类号：U667.65
基金项目：江苏海事职业技术学院千帆计划人才工程资助项目（201840）
作者简介：苏文明(1983-),男,硕士,副教授,研究方向为海上通信导航及船舶结构等
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