Ship heading intelligent control system and method thereof

By combining sliding mode control theory and nonlinear disturbance observer, the input and output domains of the fuzzy controller are adjusted in real time, which solves the problems of insufficient response speed, steady-state accuracy and anti-disturbance capability in existing heading control methods, and realizes efficient heading control of ships in complex sea conditions.

CN122411208APending Publication Date: 2026-07-17江苏新扬子造船有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
江苏新扬子造船有限公司
Filing Date
2026-05-21
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing heading control methods struggle to balance response speed and steady-state accuracy, and lack sufficient disturbance rejection capabilities, failing to meet the demands of intelligent heading control for modern ships.

Method used

An adaptive law for the fuzzy rule consequent parameters is designed using sliding mode control theory. Combined with a nonlinear disturbance observer, the input and output domains of the fuzzy controller are adjusted in real time. The disturbances experienced by the ship are estimated through the nonlinear disturbance observer to form the final rudder angle command.

Benefits of technology

It achieves rapid response and high steady-state accuracy heading control under different operating conditions, enhances the system's robustness to model uncertainties and external disturbances, and improves the smoothness of ship handling and the service life of the steering gear system.

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Abstract

本发明涉及的一种船舶航向智能控制系统及其方法,包括以下步骤:步骤一、获取船舶实际航向与设定航向,计算航向误差e和误差变化率ec;步骤二、根据所述e和ec实时计算伸缩因子,动态调整模糊控制器输入变量和输出变量的论域;步骤三、对经论域调整后的e和ec进行模糊化;步骤四、基于所述e和ec计算滑模面,并利用基于滑模控制理论设计的自适应律。通过变论域伸缩因子实现模糊控制器论域自适应调整,实现了响应速度与稳态精度;同时基于滑模理论设计参数自适应律,并引入非线性干扰观测器实时补偿环境扰动,显著增强了系统鲁棒性,有效抑制舵机抖振,提升复杂海况下的航向跟踪性能与操纵平稳性。
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