港内保持航向的线性自抗扰控制

Han Zhou-zhou, L. Ying, Zhong Zi-sen
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引用次数: 0

摘要

由于船舶在港口航行时的低速和浅水效应,使船模参数发生变化,传统的PID自动驾驶仪无法有效控制船舶航向。本文将水深和航速变化对船舶的影响转化为船模参数的变化,并将船舶参数作为控制器设计的一部分。采用线性自抗扰控制(LADRC)算法设计船舶航向控制器。利用线性扩展状态观测器实时跟踪船舶模型的状态,提取船舶模型的微分状态变量。将风、浪等外部扰动与船舶内部扰动整合为总扰动,并采用PD控制律进行控制。本文在Nomoto模型的基础上,加入风、浪等干扰因素,模拟真实船舶的航行环境,模拟船舶在不同航速下在风、浪干扰下的航向保持控制。从仿真曲线可以看出,船舶航向控制不存在超调现象,在面对航速变化和风浪干扰时仍能有效控制船舶航向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linear Active Disturbance Rejection Control for Course Keeping in Harbor
Due to the low speed and shallow water effect of the ship when sailing in harbor, the parameters of the ship model are changed, and the traditional PID autopilot cannot effectively control the ship's course. In this paper, the effects of changes in water depth and ship speed on the ship are transformed into changes in ship model parameters, and ship parameters are used as part of the controller design. Using linear active disturbance rejection control(LADRC) algorithm is applied to design the ship course controller. A linear extended state observer is used to track the states of the ship model in real time and extract the differential state variables of the ship model. Integrates external disturbances such as wind and waves and internal disturbances of the ship into total disturbances, which are controlled by PD control law. Based on the Nomoto model, this paper adds disturbances such as wind and waves to simulate the real ship's navigation environment, and simulates the ship's course keeping control under the disturbance of wind and waves in difference speed. It can be seen from the simulation curve that there is no overshoot of the course control, and the ship's course can still be effectively controlled when facing the speed changes and interference from wind and waves.
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